Thematische Bibliographien / Polarimetric Synthetic Aperture Radar

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Auswahl der wissenschaftlichen Literatur zum Thema „Polarimetric Synthetic Aperture Radar“

Autor: Grafiati

Veröffentlicht am 25. Mai 2024

Zuletzt aktualisiert am 30. Juli 2025

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Zeitschriftenartikel zum Thema "Polarimetric Synthetic Aperture Radar"

Raney, R. Keith. "Hybrid Dual-Polarization Synthetic Aperture Radar." Remote Sensing 11, no. 13 (2019): 1521. http://dx.doi.org/10.3390/rs11131521.

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Compact polarimetry for a synthetic aperture radar (SAR) system is reviewed. Compact polarimetry (CP) is intended to provide useful polarimetric image classifications while avoiding the disadvantages of space-based quadrature-polarimetric (quad-pol) SARs. Two CP approaches are briefly described, π/4 and circular. A third form, hybrid compact polarimetry (HCP) has emerged as the preferred embodiment of compact polarimetry. HCP transmits circular polarization and receives on two orthogonal linear polarizations. When seen through its associated data processing and image classification algorithms,

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Novak, L. M., and C. M. Netishen. "Polarimetric synthetic aperture radar imaging." International Journal of Imaging Systems and Technology 4, no. 4 (1992): 306–18. http://dx.doi.org/10.1002/ima.1850040410.

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Thakur, P. K., R. D. Garg, S. P. Aggarwal, P. K. Garg, and J. Shi. "Snow density retrieval using SAR data: algorithm validation and applications in part of North Western Himalaya." Cryosphere Discussions 7, no. 3 (2013): 1927–60. http://dx.doi.org/10.5194/tcd-7-1927-2013.

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Abstract. The current study has been done using Polarimetric Synthetic Aperture Radar (SAR) data to estimate the dry snow density in Manali sub-basin of Beas River located in state of Himachal Pradesh, India. SAR data from Radarsat-2 (RS2), Environmental Satellite (ENVISAT), Advanced Synthetic Aperture Radar (ASAR) and Advanced Land Observing Satellite (ALOS)-Phased Array type L-band Synthetic Aperture Radar (PALSAR) have been used. The SAR based inversion models were implemented separately for fully polarimetric RS2, PALSAR and dual polarimetric ASAR Alternate polarization System (APS) datase

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El Assad, S., X. Morin, D. Barba, and V. Slavova. "Compression of Polarimetric Synthetic Aperture Radar Data." Progress In Electromagnetics Research 39 (2003): 125–45. http://dx.doi.org/10.2528/pier02053002.

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Rignot, E., and R. Chellappa. "Segmentation of polarimetric synthetic aperture radar data." IEEE Transactions on Image Processing 1, no. 3 (1992): 281–300. http://dx.doi.org/10.1109/83.148603.

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Adil, Muhammad, Andrea Buono, Ferdinando Nunziata, Emanuele Ferrentino, Domenico Velotto, and Maurizio Migliaccio. "On the Effects of the Incidence Angle on the L-Band Multi-Polarisation Scattering of a Small Ship." Remote Sensing 14, no. 22 (2022): 5813. http://dx.doi.org/10.3390/rs14225813.

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The monitoring of ships is of paramount importance for ocean and coastal area surveillance. The synthetic aperture radar is shown to be a key sensor to provide effective and continuous observation of ships due to its unique imaging capabilities. When advanced synthetic aperture radar imaging systems are considered, the full scattering information is available that was demonstrated to be beneficial in developing improved ship detection and classification algorithms. Nonetheless, the capability of polarimetric synthetic aperture radar to observe marine vessels is significantly affected by severa

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Jiao, Yanan, Fengli Zhang, Xiaochen Liu, Zhiwei Huang, and Jingwen Yuan. "C-SAR/02 Satellite Polarimetric Calibration and Validation Based on Active Radar Calibrators." Remote Sensing 17, no. 2 (2025): 282. https://doi.org/10.3390/rs17020282.

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Quad-polarization synthetic aperture radar (SAR) satellites are important detection tools in Earth observation and remote sensing; in particular, they are of great significance for accurately interpreting radar data and inverting geophysical parameters. Polarimetric calibration is particularly critical to eliminate the effects of distortion in polarized SAR data. The C-SAR/02 satellite launched by China is an important part of the C-band synthetic aperture radar (SAR) constellation, and the quad-polarization strip I (QPSI) is an important imaging mode for its sea–land observation. The relevant

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Ramana, K. V., P. Srikanth, U. Deepika, and M. V. R. Sesha Sai. "Polarimetric Synthetic Aperture Radar data for Crop Cover Classification." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-8 (November 27, 2014): 117–21. http://dx.doi.org/10.5194/isprsannals-ii-8-117-2014.

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The interest in crop inventory through the use of microwave sensors is on the rise owing to need for accurate crop forecast and the availability of multi polarization data. Till recently, the temporal amplitude data has been used for crop discrimination as well as acreage estimation. With the availability of dual and quadpol data, the differential response of crop geometry at various crop growth stages to various polarizations is being exploited for discrimination and classification of crops. An attempt has been made in the current study with RISAT1 and Radarsat2 C-band single, dual, fully and

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Zhang, Jin, Hao Feng, Qingli Luo, Yu Li, Jujie Wei, and Jian Li. "Oil Spill Detection in Quad-Polarimetric SAR Images Using an Advanced Convolutional Neural Network Based on SuperPixel Model." Remote Sensing 12, no. 6 (2020): 944. http://dx.doi.org/10.3390/rs12060944.

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Oil spill detection plays an important role in marine environment protection. Quad-polarimetric Synthetic Aperture Radar (SAR) has been proved to have great potential for this task, and different SAR polarimetric features have the advantages to recognize oil spill areas from other look-alikes. In this paper we proposed an oil spill detection method based on convolutional neural network (CNN) and Simple Linear Iterative Clustering (SLIC) superpixel. Experiments were conducted on three Single Look Complex (SLC) quad-polarimetric SAR images obtained by Radarsat-2 and Spaceborne Imaging Radar-C/X-

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Phruksahiran, N., and M. Chandra. "Polarimetric radar cross section under SAR geometry." Advances in Radio Science 11 (July 4, 2013): 277–82. http://dx.doi.org/10.5194/ars-11-277-2013.

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Abstract. In this paper, the radar cross section of canonical scatter, with perfectly conducting surface, under the synthetic aperture radar geometry and polarized electromagnetic wave, has been considered and a new approach of polarized scattered electric field approximation for its evaluation has been developed.

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Dissertationen zum Thema "Polarimetric Synthetic Aperture Radar"

Small, David L. "Information content of polarimetric synthetic aperture radar data." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/30103.

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Research into the analysis of polarimetric synthetic aperture radar (SAR) data continues to reveal new applications and data extraction techniques. The objective of this thesis is to examine the information content of a quad-polarization SAR, and determine which polarimetric variables are most useful for classification purposes. The four complex polarimetric radar channels (HH, HV, VH, and VV) are expressed as nine scattering matrix cross-product "features" (with the loss of only absolute phase), and the relative utility of each for terrain classification is examined. Feature utility is exami

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Brown, Sarah Caroline Mellows. "High resolution polarimetric imaging of biophysical objects using synthetic aperture radar." Thesis, University of Sheffield, 1998. http://etheses.whiterose.ac.uk/10223/.

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A synthetic aperture microwave near-field system is used to image biophysical objects in order to investigate the nature of radar-target interaction. Two different imaging algorithms for focusing data collected over a two-dimensional planar aperture are investigated. The first of these is the single frequency backward propagation technique which is mathematically simple to implement and provides a high degree of resolution. Secondly, a multifrequency development of the backward propagation algorithm is presented and derived from two separate perspectives. This latter algorithm, known as the au

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Danklmayer, Andreas. "Propagation effects and polarimetric methods in synthetic aperture radar imaging : 15 Tabellen /." Köln : DLR, Bibliotheks- und Informationswesen, 2008. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016768338&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Showman, Gregory Alan. "Polarimetric calibration of ultra-wideband SAR imagery." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/13368.

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Khan, Salman Saeed. "Non-gaussian multivariate probability models and parameter estimation for polarimetric synthetic aperture radar data." Thesis, University of Surrey, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600036.

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The inadequacy of gaussian statistics in describing certain regions of a synthetic aperture radar (SAR) image can be explained by the violation of fundamental gaussian assumptions due to the increase in spatial resolution and target heterogeneity. Many non-gaussian probability models, competing in modeling flexibility, mathematical tractability, and simplicity / accuracy of parameter estimation, have been proposed in the last two decades to model single-channel and polarimetric SAR (PoISAR) data. This thesis explores the flexible polarimetric G distribution, which has many other nongaussian pr

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Marino, Armando. "New target detector based on geometrical perturbation filters for polarimetric Synthetic Aperture Radar (POL-SAR)." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4891.

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Synthetic Aperture Radar (SAR) is an active microwave remote sensing system able to acquire high resolution images of the scattering behaviour of an observed scene. The contribution of SAR polarimetry (POLSAR) in detection and classification of objects is described and found to add valuable information compared to previous approaches. In this thesis, a new target detection/classification methodology is developed that makes novel use of the polarimetric information of the backscattered field from a target. The detector is based on a geometrical perturbation filter which correlates the target of

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Zhang, Xiaohu, and 张啸虎. "Automatic detection of land cover changes using multi-temporal polarimetric SAR imagery." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193496.

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Dramatic land-cover changes have occurred in a broad range of spatial and temporal scales over the last decades. Satellite remote sensing, which can observe the earth's surface in a consistent manner, has been playing an important role in monitoring and evaluating land-cover changes. Meanwhile, optical remote sensing, a common approach to acquiring land-cover information, is limited by weather conditions and thus is greatly constrained in areas with frequent cloud cover and rainfall. Recent advances in polarimetric SAR (PolSAR) provide a promising means to extract timely information of land-co

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He, Wenju [Verfasser], and Olaf [Akademischer Betreuer] Hellwich. "Segmentation-Based Building Analysis from Polarimetric Synthetic Aperture Radar Images / Wenju He. Betreuer: Olaf Hellwich." Berlin : Universitätsbibliothek der Technischen Universität Berlin, 2011. http://d-nb.info/1014971683/34.

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Black, James Noel. "Development of a Support-Vector-Machine-based Supervised Learning Algorithm for Land Cover Classification Using Polarimetric SAR Imagery." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85391.

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Land cover classification using Synthetic Aperture Radar (SAR) data has been a topic of great interest in recent literature. Food commodities output prediction through crop identification, environmental monitoring, and forest regrowth tracking are some of the many problems that can be aided by land cover classification methods. The need for fast and automated classification methods is apparent in a variety of applications involving vast amounts of SAR data. One fundamental step in any supervised learning classification algorithm is the selection and/or extraction of features present in the

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Dilsavor, Ronald L. "Detection of target scattering centers in terrain clutter using an ultra-wideband, fully-polarimetric synthetic aperture radar /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487847761306763.

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Bücher zum Thema "Polarimetric Synthetic Aperture Radar"

Hajnsek, Irena, and Yves-Louis Desnos, eds. Polarimetric Synthetic Aperture Radar. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6.

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Zyl, Jakob Van. Synthetic aperture radar polarimetry. Wiley, 2011.

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van Zyl, Jakob, and Yunjin Kim. Synthetic Aperture Radar Polarimetry. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118116104.

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Chen, Si-Wei, Xue-Song Wang, Shun-Ping Xiao, and Motoyuki Sato. Target Scattering Mechanism in Polarimetric Synthetic Aperture Radar. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7269-7.

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Italy), POLinSAR (2003 Frascati. Proceedings of the workshop POLinSAR, Applications of SAR polarimetry and polarimetric interferometry: 14-16 January 2003, Frascati, Italy. Edited by Sawaya-Lacoste Huguette and European Space Agency. ESA Publications, 2003.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Synthetic aperture radar imagery of airports and surrounding areas: Study of clutter at grazing angles and their polarimetric properties. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1991.

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Marino, Armando. A New Target Detector Based on Geometrical Perturbation Filters for Polarimetric Synthetic Aperture Radar (POL-SAR). Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27163-2.

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Marino, Armando. A New Target Detector Based on Geometrical Perturbation Filters for Polarimetric Synthetic Aperture Radar (POL-SAR). Springer Berlin Heidelberg, 2012.

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Italy) International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (3rd 2007 Frascati. Proceedings of the 3rd International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry: 22-26 January 2007, ESRIN, Frascati, Italy. Edited by Sawaya-Lacoste Huguette and Ouwehand L. ESA Publications Division, ESTEC, 2007.

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JPL Airborne Earth Science Workshop (6th 1996 Pasadena, Calif.). Summaries of the sixth annual JPL Airborne Earth Science Workshop, March 4-8, 1996. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1996.

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Buchteile zum Thema "Polarimetric Synthetic Aperture Radar"

López-Martínez, C., and E. Pottier. "Basic Principles of SAR Polarimetry." In Polarimetric Synthetic Aperture Radar. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6_1.

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AbstractThis chapter critically summarizes the main theoretical aspects necessary for a correct processing and interpretation of the polarimetric information towards the development of applications of synthetic aperture radar (SAR) polarimetry. First of all, the basic principles of wave polarimetry (which deals with the representation and the understanding of the polarization state of an electromagnetic wave) and scattering polarimetry (which concerns inferring the properties of a target given the incident and the scattered polarized electromagnetic waves) are given. Then, concepts regarding t

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Lopez-Sanchez, J. M., J. D. Ballester-Berman, F. Vicente-Guijalba, et al. "Agriculture and Wetland Applications." In Polarimetric Synthetic Aperture Radar. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6_3.

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AbstractBased on experimental results, this chapter describes applications of SAR polarimetry to extract relevant information on agriculture and wetland scenarios by exploiting differences in the polarimetric signature of different scatterers, crop types and their development stage depending on their physical properties. Concerning agriculture, crop type mapping, soil moisture estimation and phenology estimation are reviewed, as they are ones with a clear benefit of full polarimetry over dual or single polarimetry. For crop type mapping, supervised or partially unsupervised classification sche

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Papathanassiou, K. P., S. R. Cloude, M. Pardini, et al. "Forest Applications." In Polarimetric Synthetic Aperture Radar. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6_2.

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AbstractThe application of polarimetric Synthetic Aperture Radar (SAR) to forest observation for mapping, classification and parameter estimation (especially biomass) has a relatively long history. The radar penetration through forest volume, and hence the multi-layer nature of scattering models, make fully polarimetric data the observation space enabling a robust and full inversion of such models. A critical advance came with the introduction of polarimetric SAR interferometry, where polarimetry provides the parameter diversity, while the interferometric baseline proves a user-defined entropy

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Colin-Koeniguer, E., N. Trouve, Y. Yamaguchi, et al. "Urban Applications." In Polarimetric Synthetic Aperture Radar. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6_5.

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AbstractThe experimental result reported in this chapter review the application of (high resolution) Synthetic Aperture Radar (SAR) data to extract valuable information for monitoring urban environments in space and time. Full polarimetry is particularly useful for classification, as it allows the detection of built-up areas and to discriminate among their different types exploiting the variation of the polarimetric backscatter with the orientation, shape, and distribution of buildings and houses, and street patterns. On the other hand, polarimetric SAR data acquired in interferometric configu

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Hajnsek, I., G. Parrella, A. Marino, et al. "Cryosphere Applications." In Polarimetric Synthetic Aperture Radar. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6_4.

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AbstractSynthetic aperture radar (SAR) provides large coverage and high resolution, and it has been proven to be sensitive to both surface and near-surface features related to accumulation, ablation, and metamorphism of snow and firn. Exploiting this sensitivity, SAR polarimetry and polarimetric interferometry found application to land ice for instance for the estimation of wave extinction (which relates to sub surface ice volume structure) and for the estimation of snow water equivalent (which relates to snow density and depth). After presenting these applications, the Chapter proceeds by rev

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Migliaccio, M., F. Nunziata, A. Marino, C. Brekke, and S. Skrunes. "Ocean Applications." In Polarimetric Synthetic Aperture Radar. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6_6.

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AbstractIn this chapter, the most promising techniques to observe oil slicks and to detect metallic targets at sea using polarimetric synthetic aperture radar (SAR) data are reviewed and critically analysed. The detection of oil slicks in SAR data is made difficult not only by the presence of speckle but also by the presence of, e.g. biogenic films, low-wind areas, rain cells, currents, etc., which increase the false alarm probability. The use of polarimetric features has been shown to both observe oil slicks and distinguish them from weak-damping look-alikes but also to extract some of their

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Yang, Ruliang, Bowei Dai, Lulu Tan, Xiuqing Liu, Zhen Yang, and Haiying Li. "Polarimetric Synthetic Aperture Radar." In Polarimetric Microwave Imaging. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8897-6_3.

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Yang, Ruliang, Bowei Dai, Lulu Tan, Xiuqing Liu, Zhen Yang, and Haiying Li. "Polarimetric Interferometric Synthetic Aperture Radar." In Polarimetric Microwave Imaging. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8897-6_4.

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Shafai, Shahid Shuja, Shashi Kumar, Hossein Aghababaei, and Anurag Kulshrestha. "Polarimetric Interferometric Decomposition." In Spaceborne Synthetic Aperture Radar Remote Sensing. CRC Press, 2023. http://dx.doi.org/10.1201/9781003204466-3.

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Marino, Armando. "Synthetic Aperture Radar." In A New Target Detector Based on Geometrical Perturbation Filters for Polarimetric Synthetic Aperture Radar (POL-SAR). Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27163-2_2.

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Konferenzberichte zum Thema "Polarimetric Synthetic Aperture Radar"

Hashimoto, Yu, Ryo Natsuaki, and Akira Hirose. "RFI Detection Using Degree of Polarization for Polarimetric Synthetic Aperture Radar." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640790.

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Özdemir, Caner. "Review of Inverse Synthetic Aperture Radar (ISAR), Polarimetric ISAR Imaging and Interpretation." In 2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST). IEEE, 2023. http://dx.doi.org/10.1109/ibcast59916.2023.10712932.

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WELSH, R., D. ANDRE, and M. FINNIS. "LABORATORY MULTISTATIC POLARIMETRIC SPARSE APERTURE 3D SAR INVESTIGATION." In Synthetic Aperture Sonar and Synthetic Aperture Radar 2023. Institute of Acoustics, 2023. http://dx.doi.org/10.25144/15941.

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Zhou, Zhengshu, Kenji Takasawa, and Motoyuki Sato. "Interferometric polarimetric synthetic aperture radar system." In Multispectral Image Processing and Pattern Recognition, edited by Qingxi Tong, Yaoting Zhu, and Zhenfu Zhu. SPIE, 2001. http://dx.doi.org/10.1117/12.441426.

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Xu, Feng, Yongchen Li, and Ya-Qiu Jin. "Polarimetric-anisotropic decomposition of synthetic aperture radar." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7730957.

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Sotirelis, Paul, Sean Gilmore, and Adam Nolan. "Using deep learning to estimate linear structure orientation in polarimetric radar data." In Algorithms for Synthetic Aperture Radar Imagery XXVII, edited by Edmund Zelnio and Frederick D. Garber. SPIE, 2020. http://dx.doi.org/10.1117/12.2561575.

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Herman, Stephen, and Joshua Ash. "A generalized gamma copula model for high resolution polarimetric SAR change detection." In Algorithms for Synthetic Aperture Radar Imagery XXXI, edited by Edmund Zelnio and Frederick D. Garber. SPIE, 2024. http://dx.doi.org/10.1117/12.3028781.

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Sato, Ryoichi, Toshifum Moriyama, Yuya Arima, et al. "Fundamental Polarimetric Scattering Analysis For Detecting Oriented Manmade Objects Using Polarimetric Correlation Coefficients." In 2023 8th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2023. http://dx.doi.org/10.1109/apsar58496.2023.10388936.

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Chen, Honglei, and Dayalan Kasilingam. "Super-Resolution Processing for Polarimetric Synthetic Aperture Radar Tomography." In 2007 IEEE Radar Conference. IEEE, 2007. http://dx.doi.org/10.1109/radar.2007.374290.

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Liu, Bin, Hao Hu, Huanyu Wang, Kaizhi Wang, Xingzhao Liu, and Wenxian Yu. "Superpixel-based classification of polarimetric synthetic aperture radar images." In 2011 IEEE Radar Conference (RadarCon). IEEE, 2011. http://dx.doi.org/10.1109/radar.2011.5960609.

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Berichte der Organisationen zum Thema "Polarimetric Synthetic Aperture Radar"

Ralston, James M., and Elizabeth L. Ayers. Antenna Effects on Polarimetric Imagery in Ultrawide Synthetic Aperture Radar. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada415541.

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Lukowski, T. I., B. Yue, and K. E. Mattar. Synthetic Aperture Radar for search and rescue: polarimetry and interferometry. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2004. http://dx.doi.org/10.4095/220094.

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DICKEY, FRED M., LOUIS ROMERO, and ARMIN W. DOERRY. Superresolution and Synthetic Aperture Radar. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/782711.

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Boverie, B., B. C. Brock, and A. W. Doerry. Soil-penetrating synthetic aperture radar. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10123330.

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Doerry, Armin Walter. Performance limits for Synthetic Aperture Radar. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/878591.

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Doerry, Armin W. Motion measurement for synthetic aperture radar. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1167411.

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Doerry, A. W. Performance Limits for Synthetic Aperture Radar. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/773988.

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Doerry, Armin, and Douglas Bickel. Synthetic Aperture Radar Height of Focus. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1761028.

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Doerry, A. W. Synthetic aperture radar processing with tiered subapertures. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10161315.

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Walker, David T. Wave-Coherence Measurements Using Synthetic-Aperture Radar. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada610000.

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