Articles de revues : « Interferometric Synthetic Aperture Radar (InSAR) »

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Lei, Kun Chao, Hui Li Gong, Xiao Juan Li, Bei Bei Chen, Ji Wei Li et Liu Lin Song. « The Application of PS-InSAR Technology on Land Subsidence in Cangzhou Region ». Advanced Materials Research 268-270 (juillet 2011) : 1934–39. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1934.

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Land subsidence in Cangzhou of the North China Plain, has been an ongoing problem for the past four decades (since the later 1970s). With the development of new synthetic aperture radar(SAR)sensors and interferometric synthetic aperture radar(InSAR) techniques, the application of satellite Radar data have enhanced capabilities to detect and monitor ground displacements with centimeter to millimeter precision at greater spatial detail and higher temporal resolution. We use Permanent Scatterers interferometric synthetic aperture radar（PS-InSAR）technology (Hooper, A.2004) to detect and measure ground movement in this area（from2004 to 2007）. Results of the cangzhou region study are reported and the utility of the InSAR methodology is discussed.

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Rott, Helmut. « Advances in interferometric synthetic aperture radar (InSAR) in earth system science ». Progress in Physical Geography : Earth and Environment 33, n^o 6 (12 octobre 2009) : 769–91. http://dx.doi.org/10.1177/0309133309350263.

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During recent years, synthetic aperture radar (SAR) interferometry (InSAR) has become an important tool for precise measurements of the earth’s surface topography and deformation. This paper presents an overview on recent developments in InSAR applications, with emphasis on the use of satellite-borne sensors for applications in geoscience, topographic mapping, natural hazard monitoring and environmental research. InSAR measurement principles are briefly introduced. Recent results on the use of repeat-pass interferometry for mapping seismic and volcanic deformation, monitoring landslides and subsidence, and mapping glacier motion are described. Other InSAR applications introduced in the paper are: topographic mapping, retrieval of biogeophysical parameters on land surfaces, and measurements of water currents. Examples of interferometric products are shown for satellite-borne SAR systems operating at X-band, C-band and L-band radar frequencies. An outlook is provided on upcoming SAR systems which will spur further advances in InSAR techniques and applications.

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Xing, Mengdao, Zhong Lu et Hanwen Yu. « InSAR Signal and Data Processing ». Sensors 20, n^o 13 (7 juillet 2020) : 3801. http://dx.doi.org/10.3390/s20133801.

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Wang, X., P. Zhang et Z. Sun. « MITIGATION ATMOSPHERIC EFFECTS IN INTERFEROGRAM WITH USING INTEGRATED MERIS/MODIS DATA AND A CASE STUDY OVER SOUTHERN CALIFORNIA ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (30 avril 2018) : 1799–803. http://dx.doi.org/10.5194/isprs-archives-xlii-3-1799-2018.

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Interferometric synthetic aperture radar(InSAR), as a space geodetictechnology, had been testified a high potential means of earth observation providing a method fordigital elevation model (DEM) and surface deformation monitoring of high precision. However, the accuracy of the interferometric synthetic aperture radar is mainly limited by the effects of atmospheric water vapor. In order to effectively measure topography or surface deformations by synthetic aperture radar interferometry (InSAR), it is necessary to mitigate the effects of atmospheric water vapor on the interferometric signals. This paper analyzed the atmospheric effects on the interferogram quantitatively, and described a result of estimating Precipitable Water Vapor (PWV) from the the Medium Resolution Imaging Spectrometer (MERIS), Moderate Resolution Imaging Spectroradiometer (MODIS) and the ground-based GPS, compared the MERIS/MODIS PWV with the GPS PWV. Finally, a case study for mitigating atmospheric effects in interferogramusing with using the integration of MERIS and MODIS PWV overSouthern California is given. The result showed that such integration approach benefits removing or reducing the atmospheric phase contribution from the corresponding interferogram, the integrated Zenith Path Delay Difference Maps (ZPDDM) of MERIS and MODIS helps reduce the water vapor effects efficiently, the standard deviation (STD) of interferogram is improved by 23&thinsp;% after the water vapor correction than the original interferogram.

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Gao, Q., M. Crosetto, O. Monserrat, R. Palama et A. Barra. « INFRASTRUCTURE MONITORING USING THE INTERFEROMETRIC SYNTHETIC APERTURE RADAR (INSAR) TECHNIQUE ». International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (30 mai 2022) : 271–76. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-271-2022.

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Abstract. This paper focuses on the application of spaceborne radar interferometry as a tool for assisting the monitoring different types of infrastructures, including railways and highways. The Persistent Scatterer Interferometry (PSI) technique, the most advanced class of differential interferometric Synthetic Aperture Radar techniques (DInSAR), is used to generate the deformation maps, including the time series and the displacement velocity for each measured persistent scatterers. The dataset considered in this work consists of 261 SAR IW-SLC images acquired by the Sentinel-1 A/B satellites, between January 2016 and September 2021, over the metropolitan area of Barcelona. The infrastructures, especially railways and highways, not only cross the cities, but also connect them crossing non-urban areas. One main technical issue of monitoring infrastructures is the low density of persistent scatterers (PS) in rural areas. To improve the density, the processing chain combines the interferograms selection based on the coherence threshold. Also, for a better point selection, the Equivalent Spatial Coherence (Omega Factor) is tested.

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Han, Song Tao, Ge Shi Tang, Yong Fei Mao, Lue Chen et Mei Wang. « High Accuracy Algorithm of Airborne Interferometric Synthetic Aperture Radar ». Applied Mechanics and Materials 128-129 (octobre 2011) : 138–41. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.138.

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Interferometric Synthetic Aperture Radar is one of the most important technologies for topographic mapping. The DEM quality of airborne InSAR system depends on both system hardware performance and data processing methods. To derive large scale topographic and thematic maps up to scale 1:50000 and 1:10000, the whole data processing methods were presented. The methods included SAR imaging, interferometric processing and cartographic processing. Special methods were induced to resolve the problems encountered in project applications. Results using X-band airborne InSAR system data showed validity of the algorithm.

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Li, Genger. « InSAR terrain mapping error sources based on satellite interferometry ». Open Physics 20, n^o 1 (1 janvier 2022) : 668–79. http://dx.doi.org/10.1515/phys-2022-0064.

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Abstract To improve the accuracy of interferometric synthetic aperture radar (InSAR) topographic mapping, an error source analysis method of InSAR topographic mapping based on satellite interferometry is proposed. According to the basic principle of InSAR altimetry, the preconditions of SAR satellite interferometry are quantitatively analyzed, and the phase error experiment is carried out. The error sources of formation satellite InSAR system are studied. Finally, the error sources affecting the formation satellite InSAR system are systematically analyzed. The experimental results show that this method has good analytical performance, quantitatively evaluates the propagation law of each error, and provides a basic reference for practical application.

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Balzter, H. « Forest mapping and monitoring with interferometric synthetic aperture radar (InSAR) ». Progress in Physical Geography : Earth and Environment 25, n^o 2 (juin 2001) : 159–77. http://dx.doi.org/10.1177/030913330102500201.

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A synthetic aperture radar (SAR) is an active sensor transmitting pulses of polarized electromagnetic waves and receiving the backscattered radiation. SAR sensors at different wavelengths and with different polarimetric capabilities are being used in remote sensing of the earth. The value of an analysis of backscattered energy alone is limited due to ambiguities in the possible ecological factor configurations causing the signal. From two SAR images taken from similar viewing positions with a short time-lag, interference between the two waves can be observed. By subtracting the two phases of the signals, it is feasible to eliminate the random contribution of the scatterers to the phase. The interferometric correlation and the interferometric phase contain additional information on the three-dimensional structure of the scattering elements in the imaged area. A brief review of SAR sensors is given, followed by an outline of the physical foundations of SAR interferometry and the practical data-processing steps involved. An overview of applications of InSAR to forest mapping and monitoring is given, covering tree-bole volume and biomass, forest types and land cover, fire scars, forest thermal state and forest canopy height.

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Jia, Hongguo, Hao Zhang, Luyao Liu et Guoxiang Liu. « Landslide Deformation Monitoring by Adaptive Distributed Scatterer Interferometric Synthetic Aperture Radar ». Remote Sensing 11, n^o 19 (29 septembre 2019) : 2273. http://dx.doi.org/10.3390/rs11192273.

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Landslide is the second most frequent geological disaster after earthquake, which causes a large number of casualties and economic losses every year. China frequently experiences devastating landslides in mountainous areas. Interferometric Synthetic Aperture Radar (InSAR) technology has great potential for detecting potentially unstable landslides across wide areas and can monitor surface displacement of a single landslide. However traditional time series InSAR technology such as persistent scatterer interferometry (PSI) and small-baseline subset (SBAS) cannot identify enough points in mountainous areas because of dense vegetation and steep terrain. In order to improve the accuracy of landslide hazard detection and the reliability of landslide deformation monitoring in areas lacking high coherence stability point targets, this study proposes an adaptive distributed scatterer interferometric synthetic aperture radar (ADS-InSAR) method based on the spatiotemporal coherence of the distributed scatterer (DS), which automatically adjusts its detection threshold to improve the spatial distribution density and reliability of DS detection in the landslide area. After time series network modeling and deformation calculation of the ADS target, the displacement deformation of the landslide area can be accurately extracted. Shuibuya Town in Enshi Prefecture, Hubei Province, China, was used as a case study, along with 18 Sentinal-1A images acquired from March 2016 to April 2017. The ADS-InSAR method was used to obtain regional deformation data. The deformation time series was combined with hydrometeorological and related data to analyze landslide deformation. The results show that the ADS-InSAR method can effectively improve the density of DS distribution, successfully detect existing ancient landslide groups and determine multiple potential landslide areas, enabling early warning for landslide hazards. This study verifies the reliability and accuracy of ADS-InSAR for landslide disaster prevention and mitigation.

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Grzesiak, Karolina, et Wojciech J. Milczarek. « LOS Displacements of Mauna Loa volcano, Hawaii Island, as determined using SBAS-InSAR ». E3S Web of Conferences 55 (2018) : 00006. http://dx.doi.org/10.1051/e3sconf/20185500006.

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This paper presents an overview of the surface displacements retrieval capability of the Differential Synthetic Aperture Radar Interferometry algorithm, using Small Baseline Subset (SBAS) technique, in the context of active volcanic areas. Based on Sentinel-1A images, time series displacements fields of the Mauna Loa volcano area over a 2-year time interval (between 2015 and 2017) were received using batch processing. Based on 35 radar images, a total of 179 interferograms have been calculated. Methodology of Synthetic Aperture Radar (SAR) Sentinel-1 ESA satellite mission data processing with small base (SBAS) interferometric techniques from has been presented. The displacements calculated in the satellite’s Line of Sight (LOS) have been presented graphically on maps and graphs. Application of radar interferometry methods in the case of volcanic surface activity research creates new possibilities in the area of permanent monitoring of this type of areas.

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Azeriansyah, Reyhan, et Harintaka Harintaka. « Penggunaan Generic Atmospheric Correction Online Service For InSAR (GACOS) Pada Pemantauan Penurunan Muka Tanah di Kota Semarang Metode Persistent Scatterer Interferometric Synthetic Aperture Radar ». Elipsoida : Jurnal Geodesi dan Geomatika 2, n^o 01 (7 juillet 2019) : 101–6. http://dx.doi.org/10.14710/elipsoida.2019.4651.

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Wilayah pesisir merupakan tempat yang potensial dalam bermukim dan memanfaatkan sumber daya alam. Kemudahan akses dan daerah yang berpotensi untuk dikelola sehingga sebagian besar permukiman padat penduduk berada di wilayah tersebut. Salah satu akibat dari aktivitas dapat dilihat pada wilayah pesisir seperti Kota Semarang yang mengalami penurunan muka tanah yang disebabkan berbagai faktor alam dan buatan manusia. Metode pengamatan yang sering dilakukan untuk fenomena ini adalah pengamatan GNSS. Interval jarak yang terlalu jauh antar stasiun menyebabkan beberapa area tidak tercakup dalam pengamatan penurunan muka tanah dengan pengamatan GNSS receiver. Salah satu solusi yang dapat digunakan adalah dengan memanfaatkan teknologi Interferometric Synthetic Aperture Radar (InSAR) secara multi-temporal yang disebut Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR). Pada aplikasinya, PS-InSAR memiliki permasalahan berupa kesalahan troposfer yang menyebabkan percepatan atau pelambatan sinyal pada sensor SAR saat melakukan akuisisi yang terkandung pada tiap citra Synthetic Aperture Radar (SAR). Metode koreksi troposfer Generic Atmospheric Correction Online Service for InSAR (GACOS) yang digunakan pada metode PS-InSAR akan dapat mengeliminasi efek troposfer pada masing-masing citra sehingga kesalahan dapat diminimalkan dan mengoptimalkan kerja metode PS-InSAR. Berdasarkan hasil PS-InSAR sebelum dan sesudah terkoreksi menunjukkan bahwa wilayah di Kota Semarang yang mengalami penurunan muka tanah terbesar adalah Kecamatan Genuk, Kecamatan Pedurungan dan Semarang Timur. Secara statistik menunjukkan GACOS mampu mempengaruhi hasil PS-InSAR.

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Pepe, Antonio. « Multi-Temporal Small Baseline Interferometric SAR Algorithms : Error Budget and Theoretical Performance ». Remote Sensing 13, n^o 4 (4 février 2021) : 557. http://dx.doi.org/10.3390/rs13040557.

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Multi-temporal interferometric synthetic aperture radar (MT-InSAR) techniques are well recognized as useful tools for detecting and monitoring Earth’s surface temporal changes. In this work, the fundamentals of error noise propagation and perturbation theories are applied to derive the ground displacement products’ theoretical error bounds of the small baseline (SB) differential interferometric synthetic aperture radar algorithms. A general formulation of the least-squares (LS) optimization problem, representing the SB methods implementation’s core, was adopted in this research study. A particular emphasis was placed on the effects of time-uncorrelated phase unwrapping mistakes and time-inconsistent phase disturbances in sets of SB interferograms, leading to artefacts in the attainable InSAR products. Moreover, this study created the theoretical basis for further developments aimed at quantifying the error budget of the time-uncorrelated phase unwrapping mistakes and studying time-inconsistent phase artefacts for the generation of InSAR data products. Some experiments, performed by considering a sequence of synthetic aperture radar (SAR) images collected by the ASAR sensor onboard the ENVISAT satellite, supported the developed theoretical framework.

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Joughin, Ian, Ben E. Smith et Waleed Abdalati. « Glaciological advances made with interferometric synthetic aperture radar ». Journal of Glaciology 56, n^o 200 (2010) : 1026–42. http://dx.doi.org/10.3189/002214311796406158.

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AbstractSpaceborne interferometric synthetic aperture radar (InSAR) techniques for measuring ice flow velocity and topography have developed rapidly over the last decade and a half, revolutionizing the study of ice dynamics. Spaceborne interferometry has contributed to major progress in many areas of glaciological study by: providing the first comprehensive measurements of ice-stream flow velocity over the major outlets of Greenland and Antarctica; revealing that ice-stream and outlet-glacier flow can change rapidly (months to years); improving understanding of several ice-sheet and ice-shelf processes; providing velocity for flux-gate based mass-balance assessment; mapping flow of mountain glaciers; and capturing the geomorphic traces of past ice flow. We review the basic technique development, the measurement characteristics, and the extensive set of results yielded by these measurements.

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HO TONG MINH, Dinh, Ramon Hanssen et Fabio Rocca. « Radar Interferometry : 20 Years of Development in Time Series Techniques and Future Perspectives ». Remote Sensing 12, n^o 9 (26 avril 2020) : 1364. http://dx.doi.org/10.3390/rs12091364.

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The research and improvement of methods to be used for deformation measurements from space is a challenge. From the previous 20 years, time series Synthetic Aperture Radar (SAR) interferometry techniques have proved for their ability to provide millimeter-scale deformation measurements over time. This paper aims to provide a review of such techniques developed in the last twenty years. We first recall the background of interferometric SAR (InSAR). We then provide an overview of the InSAR time series methods developed in the literature, describing their principles and advancements. Finally, we highlight challenges and future perspectives of the InSAR in the Big Data era.

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Maghsoudi, M., A. Hajizadeh, M. A. Nezammahalleh, H. SeyedRezai, A. Jalali et M. Mahzoun. « INTERFEROMETRIC SYNTHETIC APERTURE RADAR (INSAR) TECHNOLOGY AND GEOMORPHOLOGY INTERPRETATION ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W3 (24 septembre 2013) : 253–56. http://dx.doi.org/10.5194/isprsarchives-xl-1-w3-253-2013.

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Wang, Zhongbin, Bingnan Wang, Maosheng Xiang, Xiaoning Hu, Chong Song, Shuai Wang et Yachao Wang. « A Coherence Improvement Method Based on Sub-Aperture InSAR for Human Activity Detection ». Sensors 21, n^o 4 (18 février 2021) : 1424. http://dx.doi.org/10.3390/s21041424.

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Human activity detection plays an important role in social security monitoring. Since human activity is very weak, it is necessary to employ the repeat-pass Interferometric Synthetic Aperture Radar (InSAR) technique to detect the potential activity between two data acquisitions; a high level of coherence is required for detection. With the object of detecting human activity of interest, this paper presents a coherence improvement approach based on sub-aperture InSAR for human activity detection. Different sub-apertures contain different scattering information of the target, as they represent the backscatter of the target from a different range of angles. Integrating corresponding sub-aperture interferometric results can improve the coherence between two complex images compared to the entire synthetic aperture, as well as removing a little disturbance in some circumstances. To validate the method presented in this paper, the actual airborne Ka-band frequency modulated continuous wave (FMCW) InSAR data acquired by the Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS) are utilized. The experimental results demonstrate that the proposed method can effectively improve the coherence between two complex SAR images and can validly detect human activity of interest.

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Baker, S., C. Baru, G. Bryson, B. Buechler, C. Crosby, E. Fielding, C. Meertens, J. Nicoll et C. Youn. « Seamless Synthetic Aperture Radar Archive for Interferometry Analysis ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (7 novembre 2014) : 65–72. http://dx.doi.org/10.5194/isprsarchives-xl-1-65-2014.

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The NASA Advancing Collaborative Connections for Earth System Science (ACCESS) seamless synthetic aperture radar (SAR) archive (SSARA) project is a collaboration between UNAVCO, the Alaska Satellite Facility (ASF), the Jet Propulsion Laboratory (JPL), and OpenTopography at the San Diego Supercomputer Center (SDSC) to design and implement a seamless distributed access system for SAR data and derived interferometric SAR (InSAR) data products. A unified application programming interface (API) has been created to search the SAR archives at ASF and UNAVCO, 30 and 90-m SRTM DEM data available through OpenTopography, and tropospheric data from the NASA OSCAR project at JPL. The federated query service provides users a single access point to search for SAR granules, InSAR pairs, and corresponding DEM and tropospheric data products from the four archives, as well as the ability to search and download pre-processed InSAR products from ASF and UNAVCO.

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Byrraju, Sumanth V., Dimitris C. Rizos et Yu Qian. « Satellite Radar Imagery for Detection and Monitoring of Geohazards ». Transportation Research Record : Journal of the Transportation Research Board 2674, n^o 3 (mars 2020) : 283–92. http://dx.doi.org/10.1177/0361198120910746.

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This paper presents three case studies that were part of a 1-year study that explores the feasibility of using commercially available satellite and other aerial imagery to monitor the right of way of railroads for effects and conditions that could potentially trigger landslides and other geohazards. Two satellite image processing techniques in the Interferometric Synthetic Aperture Radar (InSAR) family have been studied and employed, that is, the Differential Interferometric Synthetic Aperture Radar (DInSAR) and the Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR). All satellite images used in this work are in the public domain and the software is open source. Showcase studies have demonstrated that the current satellite technology makes it feasible to monitor the railway right of way for large- and small-scale deformations and changes in the ground moisture content in adequate resolution. The frequency of acquisition of satellite images is adequate for the long-term monitoring of the infrastructure. The satellite analysis results can be superimposed to visual imagery for ease of visual inspection and evaluation. Future work for the development of a monitoring system of the railway right of way needs to focus on verifying the accuracy of the techniques with in situ measurements through conventional means and quantifying the changes of the moisture content.

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Xu, Bing, Zhiwei Li, Yan Zhu, Jiancun Shi et Guangcai Feng. « SAR Interferometric Baseline Refinement Based on Flat-Earth Phase without a Ground Control Point ». Remote Sensing 12, n^o 2 (9 janvier 2020) : 233. http://dx.doi.org/10.3390/rs12020233.

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Interferometric baseline estimation is a key procedure of interferometric synthetic aperture radar (SAR) data processing. The error of the interferometric baseline affects not only the removal of the flat-earth phase, but also the transformation coefficient between the topographic phase and elevation, which will affect the topographic phase removal for differential interferometric SAR (D-InSAR) and the accuracy of the final generated digital elevation model (DEM) product for interferometric synthetic aperture (InSAR). To obtain a highly accurate interferometric baseline, this paper firstly investigates the geometry of InSAR imaging and establishes a rigorous relationship between the interferometric baseline and the flat-earth phase. Then, a baseline refinement method without a ground control point (GCP) is proposed, where a relevant theoretical model and resolving method are developed. Synthetic and real SAR datasets are used in the experiments, and a comparison with the conventional least-square (LS) baseline refinement method is made. The results demonstrate that the proposed method exhibits an obvious improvement over the conventional LS method, with percentages of up to 51.5% in the cross-track direction. Therefore, the proposed method is effective and advantageous.

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Imperatore, Pasquale, Antonio Pepe et Eugenio Sansosti. « High Performance Computing in Satellite SAR Interferometry : A Critical Perspective ». Remote Sensing 13, n^o 23 (24 novembre 2021) : 4756. http://dx.doi.org/10.3390/rs13234756.

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Synthetic aperture radar (SAR) interferometry has rapidly evolved in the last decade and can be considered today as a mature technology, which incorporates computationally intensive and data-intensive tasks. In this paper, a perspective on the state-of-the-art of high performance computing (HPC) methodologies applied to spaceborne SAR interferometry (InSAR) is presented, and the different parallel algorithms for interferometric processing of SAR data are critically discussed at different levels. Emphasis is placed on the key processing steps, which typically occur in the interferometric techniques, categorized according to their computational relevance. Existing implementations of the different InSAR stages using diverse parallel strategies and architectures are examined and their performance discussed. Furthermore, some InSAR computational schemes selected in the literature are analyzed at the level of the entire processing chain, thus emphasizing their potentialities and limitations. Therefore, the survey focuses on the inherent computational approaches enabling large-scale interferometric SAR processing, thus offering insight into some open issues, and outlining future trends in the field.

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Budillon, Alessandra, Michele Crosetto et Oriol Monserrat. « Editorial for the Special Issue “Urban Deformation Monitoring using Persistent Scatterer Interferometry and SAR Tomography” ». Remote Sensing 11, n^o 11 (31 mai 2019) : 1306. http://dx.doi.org/10.3390/rs11111306.

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This Special Issue hosts papers related to deformation monitoring in urban areas based on two main techniques: Persistent Scatterer Interferometry (PSI) and Synthetic Aperture Radar (SAR) Tomography (TomoSAR). Several contributions highlight the capabilities of Interferometric SAR (InSAR) and PSI techniques for urban deformation monitoring. In this Special Issue, a wide range of InSAR and PSI applications are addressed. Some contributions show the advantages of TomoSAR in un-mixing multiple scatterers for urban mapping and monitoring. This issue includes a contribution that compares PSI and TomoSAR and another one that uses polarimetric data for TomoSAR.

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Zhang, Lei, et Zhong Lu. « Advances in InSAR Imaging and Data Processing—A Review ». Remote Sensing 14, n^o 17 (1 septembre 2022) : 4307. http://dx.doi.org/10.3390/rs14174307.

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Through different phases of synthetic aperture radar (SAR) data acquired on different dates and/or at different satellite imaging locations, the interferometric SAR (InSAR) technique has long been used to map ground deformation or generate global digital elevation model (DEM) (e [...]

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Gao, Yang, Jin Song Du, Yi Yang Liu et Xin Bi. « Research on Motion Compensation for Airborne SAR Interferometry System ». Advanced Materials Research 684 (avril 2013) : 414–19. http://dx.doi.org/10.4028/www.scientific.net/amr.684.414.

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Deviation from definitive flight path of a plane fixed a synthetic aperture radar (SAR) leads to inaccurate and defocused radar images, which has serious effect on the SAR interferometry (InSAR) processing. Therefore, the precise motion compensation (MOCO) for the airborne SAR interferometric data is the key to obtain high quality digital elevation model (DEM).The position and orientation system (POS)-based residual motion error compensation method is designed. Considering the precision of POS, there will be residual motion error after the POS-based MOCO, which have serious effect on the interferometric phase, especially the residual baseline errors. To solve the above problem, this paper proposed an enhanced multi-squint processing based model to estimate the residual baseline errors. This method can decrease the influence of data decorrelation and baseline error varying with range, and dramatically improve the measuring accuracy of InSAR.

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Ansar, A. M. H., A. H. M. Din, A. S. A. Latip et M. N. M. Reba. « A SHORT REVIEW ON PERSISTENT SCATTERER INTERFEROMETRY TECHNIQUES FOR SURFACE DEFORMATION MONITORING ». International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W3-2021 (10 janvier 2022) : 23–31. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w3-2021-23-2022.

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Abstract. Technology advancement has urged the development of Interferometric Synthetic Aperture Radar (InSAR) to be upgraded and transformed. The main contribution of the InSAR technique is that the surface deformation changes measurements can achieve up to millimetre level precision. Environmental problems such as landslides, volcanoes, earthquakes, excessive underground water production, and other phenomena can cause the earth's surface deformation. Deformation monitoring of a surface is vital as unexpected movement, and future behaviour can be detected and predicted. InSAR time series analysis, known as Persistent Scatterer Interferometry (PSI), has become an essential tool for measuring surface deformation. Therefore, this study provides a review of the PSI techniques used to measure surface deformation changes. An overview of surface deformation and the basic principles of the four techniques that have been developed from the improvement of Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR), which is Small Baseline Subset (SBAS), Stanford Method for Persistent Scatterers (StaMPS), SqueeSAR and Quasi Persistent Scatterer (QPS) were summarised to perceive the ability of these techniques in monitoring surface deformation. This study also emphasises the effectiveness and restrictions of each developed technique and how they suit Malaysia conditions and environment. The future outlook for Malaysia in realising the PSI techniques for structural monitoring also discussed in this review. Finally, this review will lead to the implementation of appropriate techniques and better preparation for the country's structural development.

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Balzter, H. « Forest mapping and monitoring with interferometric synthetic aperture radar (InSAR) ». Progress in Physical Geography 25, n^o 2 (1 juin 2001) : 159–77. http://dx.doi.org/10.1191/030913301666986397.

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Chen, Yi Fei, et Hua Ping Xu. « Comparative Study of Speckle Noise Reduction Approaches for Interferometric Synthetic Aperture Radar Images ». Applied Mechanics and Materials 427-429 (septembre 2013) : 1735–38. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1735.

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Speckle noise appearing in the interferometric SAR (InSAR) phase image degrades the quality of interferogram seriously and makes interferogram reflect the scattering characteristics of the target inaccurately, reducing the capability of extracting DEM information of target areas. Therefore, speckle noise reduction plays a major role in InSAR processing by using interferogram filtering. First, according to a terrain model with the assumed geometrical parameters in InSAR system, the paper simulated an interferometric SAR phase image with noise, which can be characterized by the multilook phase distribution based on the circular Gaussian assumption [1]. Second, the paper explores three interferogram filtering algorithm to remove speckle noise: Goldstain filter, Rotating Kernel Transformation and Lee filter; the proper implementation of three methods is given. Last, the paper discusses about the performance comparatively based on experimental results and gives broad conclusions and presents recommendations.

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McMillan, Malcolm, Andrew Shepherd, Noel Gourmelen, Jeong-Won Park, Peter Nienow, Eero Rinne et Amber Leeson. « Mapping ice-shelf flow with interferometric synthetic aperture radar stacking ». Journal of Glaciology 58, n^o 208 (2012) : 265–77. http://dx.doi.org/10.3189/2012jog11j072.

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AbstractInterferometric synthetic aperture radar (InSAR) observations of ice-shelf flow contain ocean-tide and atmospheric-pressure signals. A model-based correction can be applied, but this method is limited by its dependency upon model accuracy, which in remote regions can be uncertain. Here we describe a method to determine two-dimensional ice-shelf flow vectors independently of model predictions of tide and atmospheric pressure, by stacking conventional and multiple aperture InSAR (MAI) observations of the Dotson Ice Shelf, West Antarctica. In this way we synthesize a longer observation period, which enhances long-period (flow) displacement signals, relative to rapidly varying (tide and atmospheric pressure) signals and noise. We estimate the error associated with each component of the velocity field to be ~22 ma-1, which could be further reduced if more images were available to stack. With the upcoming launch of several satellite missions, offering the prospect of regular short-repeat SAR acquisitions, this study demonstrates that stacking can improve estimates of ice-shelf flow velocity.

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Barbouchi, Meriem, Chayma Chaabani, Hatem Cheikh M’Hamed, Riadh Abdelfattah, Rachid Lhissou, Karem Chokmani, Nadhira Ben Aissa, Mohamed Annabi et Haithem Bahri. « Wheat Water Deficit Monitoring Using Synthetic Aperture Radar Backscattering Coefficient and Interferometric Coherence ». Agriculture 12, n^o 7 (15 juillet 2022) : 1032. http://dx.doi.org/10.3390/agriculture12071032.

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Due to the climate change situation, water deficit stress is becoming one of the main factors that threatens the agricultural sector in semi-arid zones. Thus, it is extremely important to provide efficient tools of water deficit monitoring and early detection. To do so, a set of Synthetic Aperture Radar (SAR) backscattering and interferometric SAR (InSAR) Sentinel-1 data, covering the period from January to June 2016, are considered over a durum wheat field in Tunisia. We first studied the temporal variation of the InSAR coherence data and the SAR backscattering coefficient as a function of the phenological stage of the wheat. Subsequently, the parameters of the SAR and InSAR coherence images were analyzed with regard to the water stress coefficient and the wheat height variations. The main findings of this study highlight the high correlation (r = 0.88) that exists between the InSAR coherence and the water stress coefficient, on the one hand, and between the backscattering coefficient, the interferometric coherence, and the water deficit coefficient (R2 = 0.95 and RMSE = 14%), on the other hand. When a water deficit occurs, the water stress coefficient increases, the crop growth decreases, and the height variation becomes low, and this leads to the increase of the InSAR coherence value. In summary, the reliability of Sentinel-1 SAR and InSAR coherence data to monitor the biophysical parameters of the durum wheat was validated in the context of water deficits in semi-arid regions.

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Palano, Mimmo. « Editorial for the Special Issue : “Ground Deformation Patterns Detection by InSAR and GNSS Techniques” ». Remote Sensing 14, n^o 5 (24 février 2022) : 1104. http://dx.doi.org/10.3390/rs14051104.

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In the last two decades, the rapid growth in continuous Global Navigation Satellite Systems (GNSS) networks and improvements in Interferometric Synthetic Aperture Radar (InSAR) imaging allowed the acquisition of continuous and spatially extensive datasets over large regions of Earth, significantly increasing the range of geoscience applications [...]

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Jin, Guowang, Xin Xiong, Qing Xu, Zhihui Gong et Yang Zhou. « BASELINE ESTIMATION ALGORITHM WITH BLOCK ADJUSTMENT FOR MULTI-PASS DUAL-ANTENNA INSAR ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (17 juin 2016) : 39–45. http://dx.doi.org/10.5194/isprs-archives-xli-b7-39-2016.

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Baseline parameters and interferometric phase offset need to be estimated accurately, for they are key parameters in processing of InSAR (Interferometric Synthetic Aperture Radar). If adopting baseline estimation algorithm with single pass, it needs large quantities of ground control points to estimate interferometric parameters for mosaicking multiple passes dual-antenna airborne InSAR data that covers large areas. What’s more, there will be great difference between heights derived from different passes due to the errors of estimated parameters. So, an estimation algorithm of interferometric parameters with block adjustment for multi-pass dual-antenna InSAR is presented to reduce the needed ground control points and height’s difference between different passes. The baseline estimation experiments were done with multi-pass InSAR data obtained by Chinese dual-antenna airborne InSAR system. Although there were less ground control points, the satisfied results were obtained, as validated the proposed baseline estimation algorithm.

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Jin, Guowang, Xin Xiong, Qing Xu, Zhihui Gong et Yang Zhou. « BASELINE ESTIMATION ALGORITHM WITH BLOCK ADJUSTMENT FOR MULTI-PASS DUAL-ANTENNA INSAR ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (17 juin 2016) : 39–45. http://dx.doi.org/10.5194/isprsarchives-xli-b7-39-2016.

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Baseline parameters and interferometric phase offset need to be estimated accurately, for they are key parameters in processing of InSAR (Interferometric Synthetic Aperture Radar). If adopting baseline estimation algorithm with single pass, it needs large quantities of ground control points to estimate interferometric parameters for mosaicking multiple passes dual-antenna airborne InSAR data that covers large areas. What’s more, there will be great difference between heights derived from different passes due to the errors of estimated parameters. So, an estimation algorithm of interferometric parameters with block adjustment for multi-pass dual-antenna InSAR is presented to reduce the needed ground control points and height’s difference between different passes. The baseline estimation experiments were done with multi-pass InSAR data obtained by Chinese dual-antenna airborne InSAR system. Although there were less ground control points, the satisfied results were obtained, as validated the proposed baseline estimation algorithm.

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Jiao, Ming Lian. « The Use of Synthetic Aperture Radar Interferometry to Study Geohazards ». Applied Mechanics and Materials 226-228 (novembre 2012) : 1821–24. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.1821.

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Synthetic Aperture Radar Interferometry (InSAR) provides a new tool to study geohazards.A map of the surface displacement with subcentimeter accuracy can be constructed using,if the Earth’s surface deformed between two radar image acquisitions.In this paper, the research examples of InSAR are introduced firstly.Then Merits and Demerits of InSAR Applicaion in Geohazards Study are reviewed.

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Palmer, Steven, Andrew Shepherd, Helgi Björnsson et Finnur Pálsson. « Ice velocity measurements of Langjökull, Iceland, from interferometric synthetic aperture radar (InSAR) ». Journal of Glaciology 55, n^o 193 (2009) : 834–38. http://dx.doi.org/10.3189/002214309790152573.

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AbstractWe have computed the velocity of Langjökull ice cap (LIC), Iceland, using InSAR data acquired by the European Remote-sensing Satellite in 1994 and an ice-surface elevation model derived from a GPS survey conducted in 1997. The velocity map covers 68% of the 925 km2 of LIC. Eight principal outlet glaciers were identified, along which ice velocities increased from zero at the ice divide to a maximum of 75 m a−1. When the InSAR velocity dataset is compared with surface GPS measurements of ice flow determined in summer 2001, there is generally good agreement, suggesting interannual and seasonal stability for much of the ice cap during this period. However, non-zero ice velocities at the termini of four of the eight glaciers surveyed suggest that these glaciers were advancing in 1994. Comparison of our GPS and InSAR velocities suggests that Sudurjökull experienced elevated velocity in late February 1994, which, when other studies are considered, appears to be consistent with a glacier surge.

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Murdaca, Gianluca, Alessio Rucci et Claudio Prati. « Deep Learning for InSAR Phase Filtering : An Optimized Framework for Phase Unwrapping ». Remote Sensing 14, n^o 19 (4 octobre 2022) : 4956. http://dx.doi.org/10.3390/rs14194956.

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Interferometric Synthetic Aperture Radar (InSAR) data processing applications, such as deformation monitoring and topographic mapping, require an interferometric phase filtering step. Indeed, the filtering quality significantly impacts the deformation and terrain height estimation accuracy. However, the existing classical and deep learning-based phase filtering methods provide artefacts in the filtered areas where a large amount of noise prevents retrieving the original signal. In this way, we can no longer distinguish the underlying informative signal for the next processing step. This paper proposes a deep convolutional neural network filtering method, developing a novel learning strategy to preserve the initial phase noise input into these crucial areas. Thanks to the encoder–decoder powerful phase feature extraction ability, the network can predict an accurate coherence and filtered interferometric phase, ensuring reliable final results. Furthermore, we also address a novel Synthetic Aperture Radar (SAR) interferograms simulation strategy that, using initial parameters estimated from real SAR images, considers physical behaviors typical of a real acquisition. According to the results achieved on simulated and real InSAR data, the proposed filtering method significantly outperforms the classical and deep learning-based ones.

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Natsuaki, Ryo, Takuma Anahara, Tsuyoshi Kotoura, Yuudai Iwatsuka, Naoya Tomii, Hiroyuki Katayama et Takeshi Nishihata. « Synthetic Aperture Radar Interferometry for Disaster Monitoring of Harbor Facilities ». Journal of Disaster Research 12, n^o 3 (29 mai 2017) : 526–35. http://dx.doi.org/10.20965/jdr.2017.p0526.

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In this paper, we present experimental results of the disaster monitoring of harbor facilities using spaceborne synthetic aperture radar interferometry (InSAR). The Advanced Land Observing Satellite-2 (ALOS-2 or DAICHI-2), operated by the Japan Aerospace Exploration Agency (JAXA), carries the Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2). PALSAR-2 can observe disaster areas day and night, in any weather, at a resolution of approximately 3 m. ALOS-2 PALSAR-2 has been used to measure large-scale ground deformation e.g., after earthquakes and volcanic eruptions. However, its robustness for smaller targets, such as harbor facilities, has not yet been substantiated. Here, we measured the uplift of a breakwater model made of concrete armor units, and confirmed the sensor accuracy to be better than 2 cm standard deviation. We also analyzed the damage to the Nagata and Suma ports in Kobe city, Hyogo prefecture, Japan hit by the 11th Typhoon in 2014, and detected the damaged area using interferometric coherence analysis.

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You, Yanan, Rui Wang et Wenli Zhou. « An Optimized Filtering Method of Massive Interferometric SAR Data for Urban Areas by Online Tensor Decomposition ». Remote Sensing 12, n^o 16 (11 août 2020) : 2582. http://dx.doi.org/10.3390/rs12162582.

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The filtering of multi-pass synthetic aperture radar interferometry (InSAR) stack data is a necessary preprocessing step utilized to improve the accuracy of the object-based three-dimensional information inversion in urban area. InSAR stack data is composed of multi-temporal homogeneous data, which is regarded as a third-order tensor. The InSAR tensor can be filtered by data fusion, i.e., tensor decomposition, and these filters keep balance in the noise elimination and the fringe details preservation, especially with abrupt fringe change, e.g., the edge of urban structures. However, tensor decomposition based on batch processing cannot deal with few newly acquired interferograms filtering directly. The filtering of dynamic InSAR tensor is the inevitable challenge when processing InSAR stack data, where dynamic InSAR tensor denotes the size of InSAR tensor increases continuously due to the acquisition of new interferograms. Therefore, based on the online CANDECAMP/PARAFAC (CP) decomposition, we propose an online filter to fuse data and process the dynamic InSAR tensor, named OLCP-InSAR, which performs well especially for the urban area. In this method, CP rank is utilized to measure the tensor sparsity, which can maintain the structural features of the InSAR tensor. Additionally, CP rank estimation is applied as an important step to improve the robustness of Online CP decomposition - InSAR(OLCP-InSAR). Importing CP rank and outlier’s position as prior information, the filter fuses the noisy interferograms and decomposes the InSAR tensor to acquire the low rank information, i.e., filtered result. Moreover, this method can not only operate on tensor model, but also efficiently filter the new acquired interferogram as matrix model with the assistance of chosen low rank information. Compared with other tensor-based filters, e.g., high order robust principal component analysis (HoRPCA) and Kronecker-basis-representation multi-pass SAR interferometry (KBR-InSAR), and the widespread traditional filters operating on a single interferometric pair, e.g., Goldstein, non-local synthetic aperture radar (NL-SAR), non-local InSAR (NL-InSAR), and InSAR nonlocal block-matching 3-D (InSAR-BM3D), the effectiveness and robustness of OLCP-InSAR are proved in simulated and real InSAR stack data. Especially, OLCP-InSAR can maintain the fringe details at the regular building top with high noise intensity and high outlier ratio.

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Minchew, Brent, Mark Simons, Scott Hensley, Helgi Björnsson et Finnur Pálsson. « Early melt season velocity fields of Langjökull and Hofsjökull, central Iceland ». Journal of Glaciology 61, n^o 226 (2015) : 253–66. http://dx.doi.org/10.3189/2015jog14j023.

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AbstractWe infer the horizontal velocity fields of the ice caps Langjökull and Hofsjökull, central Iceland, using repeat-pass interferometric synthetic aperture radar (InSAR). NASA’s uninhabited aerial vehicle synthetic aperture radar (UAVSAR) acquired airborne InSAR data from multiple vantage points during the early melt season in June 2012. We develop a Bayesian approach for inferring three-dimensional velocity fields from multiple InSAR acquisitions. The horizontal components generally agree with available GPS measurements wherever ice motion is well constrained by InSAR observations. We provide evidence that changes in volumetric moisture content near the glacier surface induce phase offsets that obfuscate the vertical component of the surface velocity fields, an effect that could manifest itself on any glacier that experiences surface melt. Spatial patterns in the InSAR-derived horizontal speeds are broadly consistent with the results of a simple viscous flow model, and the directionality of the InSAR-derived horizontal flow field is nearly everywhere consistent with the ice surface gradient. Significant differences between the InSAR-derived horizontal speed and the speed predicted by the viscous flow model suggest that basal slip accounts for more than half the observed outlet glacier flow.

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Liu, Zhiwei, Cui Zhou, Haiqiang Fu, Jianjun Zhu et Tingying Zuo. « A Framework for Correcting Ionospheric Artifacts and Atmospheric Effects to Generate High Accuracy InSAR DEM ». Remote Sensing 12, n^o 2 (18 janvier 2020) : 318. http://dx.doi.org/10.3390/rs12020318.

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Repeat-pass interferometric synthetic aperture radar is a well-established technology for generating digital elevation models (DEMs). However, the interferogram usually has ionospheric and atmospheric effects, which reduces the DEM accuracy. In this paper, by introducing dual-polarization interferograms, a new approach is proposed to mitigate the ionospheric and atmospheric errors of the interferometric synthetic aperture radar (InSAR) data. The proposed method consists of two parts. First, the range split-spectrum method is applied to compensate for the ionospheric artifacts. Then, a multiresolution correlation analysis between dual-polarization InSAR interferograms is employed to remove the identical atmospheric phases, since the atmospheric delay is independent of SAR polarizations. The corrected interferogram can be used for DEM extraction. Validation experiments, using the ALOS-1 PALSAR interferometric pairs covering the study areas in Hawaii and Lebanon of the U.S.A., show that the proposed method can effectively reduce the ionospheric artifacts and atmospheric effects, and improve the accuracy of the InSAR-derived DEMs by 64.9% and 31.7% for the study sites in Hawaii and Lebanon of the U.S.A., respectively, compared with traditional correction methods. In addition, the assessment of the resulting DEMs also includes comparisons with the high-precision Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) altimetry data. The results show that the selection of reference data will not affect the validation results.

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Solano-Rojas, Dario E., Shimon Wdowinski, Enrique Cabral-Cano, Batuhan Osmanoglu, Emre Havazli et Jesus Pacheco-Martínez. « A multiscale approach for detection and mapping differential subsidence using multi-platform InSAR products ». Proceedings of the International Association of Hydrological Sciences 382 (22 avril 2020) : 173–77. http://dx.doi.org/10.5194/piahs-382-173-2020.

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Abstract. Detecting and mapping subsidence is currently supported by interferometric synthetic aperture radar (InSAR) products. However, several factors, such as band-dependent processing, noise presence, and strong subsidence limit the use of InSAR for assessing differential subsidence, which can lead to ground instability and damage to infrastructure. In this work, we propose an approach for measuring and mapping differential subsidence using InSAR products. We consider synthetic aperture radar (SAR) data availability, data coverage over time and space, and the region's subsidence rates to evaluate the need of post-processing, and only then we interpret the results. We illustrate our approach with two case-examples in Central Mexico, where we process SAR data from the Japanese ALOS (L-band), the German TerraSAR-X (X-band), the Italian COSMO-SkyMed (X-band) and the European Sentinel-1 (C-band) satellites. We find good agreement between our results on differential subsidence and field data of existing faulting and find potential to map yet-to-develop faults.

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Domenech, Guillem, Kamen Bogdanov, Daniel Nieto-Yu et Azadeh Faridi. « Interferometric Synthetic Aperture Radar (InSAR) applications for mapping of terrain displacement in mineral deposits ». Review of the Bulgarian Geological Society 83, n^o 3 (décembre 2022) : 179–81. http://dx.doi.org/10.52215/rev.bgs.2022.83.3.179.

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The Interferometric Synthetic Aperture Radar (InSAR) applications for mapping of terrain displacement have been tested on the Vlaykov Vruh and Tsar Assen porphyry-copper deposits to test terrain displacements and possible fault movements. Time series for each area have been prepared to display the evolution of displacement over time, for a given point for both Cu-porphyry outcrops.

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Chojka, Agnieszka, Piotr Artiemjew et Jacek Rapiński. « RFI Artefacts Detection in Sentinel-1 Level-1 SLC Data Based On Image Processing Techniques ». Sensors 20, n^o 10 (21 mai 2020) : 2919. http://dx.doi.org/10.3390/s20102919.

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Interferometric Synthetic Aperture Radar (InSAR) data are often contaminated by Radio-Frequency Interference (RFI) artefacts that make processing them more challenging. Therefore, easy to implement techniques for artefacts recognition have the potential to support the automatic Permanent Scatterers InSAR (PSInSAR) processing workflow during which faulty input data can lead to misinterpretation of the final outcomes. To address this issue, an efficient methodology was developed to mark images with RFI artefacts and as a consequence remove them from the stack of Synthetic Aperture Radar (SAR) images required in the PSInSAR processing workflow to calculate the ground displacements. Techniques presented in this paper for the purpose of RFI detection are based on image processing methods with the use of feature extraction involving pixel convolution, thresholding and nearest neighbor structure filtering. As the reference classifier, a convolutional neural network was used.

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Palamà, R., M. Crosetto, O. Monserrat, A. Barra, B. Crippa, M. Mróz, N. Kotulak, M. Mleczko et J. Rapinski. « ANALYSIS OF MINING-INDUCED TERRAIN DEFORMATION USING MULTITEMPORAL DISTRIBUTED SCATTERER SAR INTERFEROMETRY ». International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (30 mai 2022) : 321–26. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-321-2022.

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Abstract. This work addresses a methodology based on the Interferometric Synthetic Aperture Radar (InSAR) to analyse and monitor ground motion phenomena induced by underground mining activities, in the Legnica-Glogow Copper District, south-western Poland. Two stacks of ascending and descending Sentinel-1 Synthetic Aperture Radar (SAR) images are processed with a small baseline multitemporal approach. A simple method to select interferograms with high coherence and eliminated images with low redundancy is implemented to optimize the interferogram netwrork. The estimated displacement maps and time series show the effect of both linear and impulsive ground motion and are validated against Global Navigation Satellite System (GNSS) measurements.

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Bondur, Valery, Tumen Chimitdorzhiev, Aleksey Dmitriev et Pavel Dagurov. « Fusion of SAR Interferometry and Polarimetry Methods for Landslide Reactivation Study, the Bureya River (Russia) Event Case Study ». Remote Sensing 13, n^o 24 (17 décembre 2021) : 5136. http://dx.doi.org/10.3390/rs13245136.

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In this paper, we demonstrate the estimation capabilities of landslide reactivation based on various SAR (Synthetic Aperture Radar) methods: Cloude-Pottier decomposition of Sentinel-1 dual polarimetry data, MT-InSAR (Multi-temporal Interferometric Synthetic Aperture Radar) techniques, and cloud computing of backscattering time series. The object of the study is the landslide in the east of Russia that took place on 11 December 2018 on the Bureya River. H-α-A polarimetric decomposition of C-band radar images not detected significant transformations of scattering mechanisms for the surface of the rupture, whereas L-band radar data show changes in scattering mechanisms before and after the main landslide. The assessment of ground displacements along the surface of the rupture in the 2019–2021 snowless periods was carried out using MT-InSAR methods. These displacements were 40 mm/year along the line of sight. The SBAS-InSAR results have allowed us to reveal displacements of great area in 2020 and 2021 snowless periods that were 30–40 mm/year along the line-of-sight. In general, the results obtained by MT-InSAR methods showed, on the one hand, the continuation of displacements along the surface of the rupture and on the other hand, some stabilization of the rate of landslide processes.

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Li, Jia, et Jia Xin. « Research on Flat Earth Removal Techniques of INSAR ». Advanced Materials Research 433-440 (janvier 2012) : 7487–92. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.7487.

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As a new microwave remote sensing technique, synthetic aperture interferometry has been developed rapidly in last thirty years. It is based on synthetic aperture. The imaging algorithm of the synthetic aperture radar interferometry (INSAR) is introduced. Two approaches of flat earth removal are derived and compared. The influence of the flat earth removal processing to the interformetry phase statistics distribution and phase derivative is analyzed. The results indicate that the flat earth removal technology makes the phase unwrapping easier and improves the precision of it.

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Wang, Wen Jian, Jian Li Li, Jian Cheng Fang et Li Deng Wei. « A RLG POS Development and Application in Motion Compensation of Airborne InSAR ». Applied Mechanics and Materials 568-570 (juin 2014) : 304–8. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.304.

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Interferometric Synthetic Aperture Radar (InSAR) has become a research focus in airborne remote sensing systems. In order to improve the image quality, it is essential to apply accurate motion error compensation. In this paper, a high-precision Ring Laser Gyroscope (RLG) Position and Orientation System (POS) is developed, and it can offer time and space reference information for InSAR to compensate motion errors. The developed RLG POS was applied in airborne InSAR surveying and mapping system successfully. The airborne experiments show that height estimation sensitivity of InSAR compensated by RLG POS had been improved to 0.27m from 3m.

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H. Pandit, Prashant, Shridhar D. Jawak et Alvarinho J. Luis. « Estimation of Velocity of the Polar Record Glacier, Antarctica Using Synthetic Aperture Radar (SAR) ». Proceedings 2, n^o 7 (22 mars 2018) : 332. http://dx.doi.org/10.3390/ecrs-2-05145.

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The ice flow velocity is a critical variable in understanding the glacier dynamics. The Synthetic Aperture Radar Interferometry (InSAR) is a robust technique to monitor Earth’s surface mainly to measure its topography and deformation. The phase information from two or more interferogram further helps to extract information about the height and displacement of the surface. We used this technique to derive glacier velocity for Polar Record Glacier (PRG), East Antarctica, using Sentinel-1 Single Look Complex images that were captured in Interferometric Wide mode. For velocity estimation, Persistent Scatterer interferometry (PS-InSAR) method was applied, which uses the time coherent of permanent pixel of master images and correlates to the same pixel of the slave image to get displacement by tracking the intensity of those pixels. C-band sensor of European Space Agency, Sentinel-1A, and 1B data were used in this study. Estimated average velocity of the PRG is found to be approximately ≈400 ma−1, which varied from ≈100 to ≈700 ma−1. We also found that PRG moves at ≈700 and 200 ma−1 in the lower part and the upper inland area, respectively.

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Hu, Fengming, Freek J. van Leijen, Ling Chang, Jicang Wu et Ramon F. Hanssen. « Monitoring Deformation along Railway Systems Combining Multi-Temporal InSAR and LiDAR Data ». Remote Sensing 11, n^o 19 (2 octobre 2019) : 2298. http://dx.doi.org/10.3390/rs11192298.

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Multi-temporal interferometric synthetic aperture radar (MT-InSAR) can be applied to monitor the structural health of infrastructure such as railways, bridges, and highways. However, for the successful interpretation of the observed deformation within a structure, or between structures, it is imperative to associate a radar scatterer unambiguously with an actual physical object. Unfortunately, the limited positioning accuracy of the radar scatterers hampers this attribution, which limits the applicability of MT-InSAR. In this study, we propose an approach for health monitoring of railway system combining MT-InSAR and LiDAR (laser scanning) data. An amplitude-augmented interferometric processing approach is applied to extract continuously coherent scatterers (CCS) and temporary coherent scatterers (TCS), and estimate the parameters of interest. Based on the 3D confidence ellipsoid and a decorrelation transformation, all radar scatterers are linked to points in the point cloud and their coordinates are corrected as well. Additionally, several quality metrics defined using both the covariance matrix and the radar geometry are introduced to evaluate the results. Experimental results show that most radar scatterers match well with laser points and that LiDAR data are valuable as auxiliary data to classify the radar scatterers.

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Jaya, Laode M. Golok, Ketut Wikantika, Katmoko Ari Sambodo et Armi Susandi. « Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study : Southeast Sulawesi Tropical Forest) ». Forum Geografi 31, n^o 1 (1 juillet 2017) : 99–107. http://dx.doi.org/10.23917/forgeo.v31i1.2518.

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This paper was aimed to analyse the effect of temporal decorrelation in carbon stocks estimation. Estimation of carbon stocks plays important roles particularly to understand the global carbon cycle in the atmosphere regarding with climate change mitigation effort. PolInSAR technique combines the advantages of Polarimetric Synthetic Aperture Radar (PolSAR) and Interferometry Synthetic Aperture Radar (InSAR) technique, which is evidenced to have significant contribution in radar mapping technology in the last few years. In carbon stocks estimation, PolInSAR provides information about vertical vegetation structure to estimate carbon stocks in the forest layers. Two coherence Synthetic Aperture Radar (SAR) images of ALOS PALSAR full-polarimetric with 46 days temporal baseline were used in this research. The study was carried out in Southeast Sulawesi tropical forest. The research method was by comparing three interferometric phase coherence images affected by temporal decorrelation and their impacts on Random Volume over Ground (RvoG) model. This research showed that 46 days temporal baseline has a significant impact to estimate tree heights of the forest cover where the accuracy decrease from R2=0.7525 (standard deviation of tree heights is 2.75 meters) to R2=0.4435 (standard deviation 4.68 meters) and R2=0.3772 (standard deviation 3.15 meters) respectively. However, coherence optimisation can provide the best coherence image to produce a good accuracy of carbon stocks.

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Niu, Rui, Xiao Tao Tang et Yu Wang. « Complex Image Registration Method Based on Correlative Coefficient Interpolation ». Applied Mechanics and Materials 65 (juin 2011) : 514–17. http://dx.doi.org/10.4028/www.scientific.net/amm.65.514.

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Interferometric Synthetic Aperture Radar is a kind of technology to acquire the DEM information on the surface of the earth. It is concerned and researched by all over the world. Complex image registration of high precision is the key step in InSAR data processing, its results directly influence on the quantity of interferometric phase , even to the DEM precision.This paper introduces the complex image registration plans which is used the correlative coefficient method to make the coarse registration, and is used the correlative coefficient interpolation method to make the high precise registration.The experiments with spaceborne and aeroplane InSAR data prove that this method is with feasibility, high efficiency and practicability.

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Wassie, Yismaw, S. Mohammad Mirmazloumi, Michele Crosetto, Riccardo Palamà, Oriol Monserrat et Bruno Crippa. « Spatio-Temporal Quality Indicators for Differential Interferometric Synthetic Aperture Radar Data ». Remote Sensing 14, n^o 3 (8 février 2022) : 798. http://dx.doi.org/10.3390/rs14030798.

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Satellite-based interferometric synthetic aperture radar (InSAR) is an invaluable technique in the detection and monitoring of changes on the surface of the earth. Its high spatial coverage, weather friendly and remote nature are among the advantages of the tool. The multi-temporal differential InSAR (DInSAR) methods in particular estimate the spatio-temporal evolution of deformation by incorporating information from multiple SAR images. Moreover, opportunities from the DInSAR techniques are accompanied by challenges that affect the final outputs. Resolving the inherent ambiguities of interferometric phases, especially in areas with a high spatio-temporal deformation gradient, represents the main challenge. This brings the necessity of quality indices as important DInSAR data processing tools in achieving ultimate processing outcomes. Often such indices are not provided with the deformation products. In this work, we propose four scores associated with (i) measurement points, (ii) dates of time series, (iii) interferograms and (iv) images involved in the processing. These scores are derived from a redundant set of interferograms and are calculated based on the consistency of the unwrapped interferometric phases in the frame of a least-squares adjustment. The scores reflect the occurrence of phase unwrapping errors and represent valuable input for the analysis and exploitation of the DInSAR results. The proposed tools were tested on 432,311 points, 1795 interferograms and 263 Sentinel-1 single look complex images by employing the small baseline technique in the PSI processing chain, PSIG of the geomatics division of the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC). The results illustrate the importance of the scores—mainly in the interpretation of the DInSAR outputs.

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