Relevant bibliographies by topics / Radar acquisition

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Radar acquisition'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Radar acquisition"

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VOYTENKO, DENIS, TIMOTHY H. DIXON, DAVID M. HOLLAND, RYAN CASSOTTO, IAN M. HOWAT, MARK A. FAHNESTOCK, MARTIN TRUFFER, and SANTIAGO DE LA PEÑA. "Acquisition of a 3 min, two-dimensional glacier velocity field with terrestrial radar interferometry." Journal of Glaciology 63, no. 240 (June 6, 2017): 629–36. http://dx.doi.org/10.1017/jog.2017.28.

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ABSTRACTOutlet glaciers undergo rapid spatial and temporal changes in flow velocity during calving events. Observing such changes requires both high temporal and high spatial resolution methods, something now possible with terrestrial radar interferometry. While a single such radar provides line-of-sight velocity, two radars define both components of the horizontal flow field. To assess the feasibility of obtaining the two-dimensional (2-D) flow field, we deployed two terrestrial radar interferometers at Jakobshavn Isbrae, a major outlet glacier on Greenland's west coast, in the summer of 2012. Here, we develop and demonstrate a method to combine the line-of-sight velocity data from two synchronized radars to produce a 2-D velocity field from a single (3 min) interferogram. Results are compared with the more traditional feature-tracking data obtained from the same radar, averaged over a longer period. We demonstrate the potential and limitations of this new dual-radar approach for obtaining high spatial and temporal resolution 2-D velocity fields at outlet glaciers.
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Hollender, Fabrice, Sylvie Tillard, and Laurent Corin. "Multifold borehole radar acquisition and processing." Geophysical Prospecting 47, no. 6 (November 1999): 1077–90. http://dx.doi.org/10.1046/j.1365-2478.1999.00166.x.

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Lee, Seongwook, Yunho Jung, Myeongjin Lee, and Wookyung Lee. "Compressive Sensing-Based SAR Image Reconstruction from Sparse Radar Sensor Data Acquisition in Automotive FMCW Radar System." Sensors 21, no. 21 (November 1, 2021): 7283. http://dx.doi.org/10.3390/s21217283.

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In this paper, we propose a method for reconstructing synthetic aperture radar (SAR) images by applying a compressive sensing (CS) technique to sparsely acquired radar sensor data. In general, SAR image reconstruction algorithms require radar sensor data acquired at regular spatial intervals. However, when the speed of the radar-equipped platform is not constant, it is difficult to consistently perform regular data acquisitions. Therefore, we used the CS-based signal recovery method to efficiently reconstruct SAR images even when regular data acquisition was not performed. In the proposed method, we used the l1-norm minimization to overcome the non-uniform data acquisition problem, which replaced the Fourier transform and inverse Fourier transform in the conventional SAR image reconstruction method. In addition, to reduce the phase distortion of the recovered signal, the proposed method was applied to each of the in-phase and quadrature components of the acquired radar sensor data. To evaluate the performance of the proposed method, we conducted experiments using an automotive frequency-modulated continuous wave radar sensor. Then, the quality of the SAR image reconstructed with data acquired at regular intervals was compared with the quality of images reconstructed with data acquired at non-uniform intervals. Using the proposed method, even if only 70% of the regularly acquired radar sensor data was used, a SAR image having a correlation of 0.83 could be reconstructed.
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Xu, Jin, Baozhu Jia, Xinxiang Pan, Ronghui Li, Liang Cao, Can Cui, Haixia Wang, and Bo Li. "Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart." PeerJ Computer Science 6 (September 14, 2020): e290. http://dx.doi.org/10.7717/peerj-cs.290.

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Shipborne radars cannot only enable navigation and collision avoidance but also play an important role in the fields of hydrographic data inspection and disaster monitoring. In this paper, target extraction methods for oil films, ships and coastlines from original shipborne radar images are proposed. First, the shipborne radar video images are acquired by a signal acquisition card. Second, based on remote sensing image processing technology, the radar images are preprocessed, and the contours of the targets are extracted. Then, the targets identified in the radar images are integrated into an electronic navigation chart (ENC) by a geographic information system. The experiments show that the proposed target segmentation methods of shipborne radar images are effective. Using the geometric feature information of the targets identified in the shipborne radar images, information matching between radar images and ENC can be realized for hydrographic data inspection and disaster monitoring.
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Le Caillec, Jean-Marc, Jérôme Habonneau, and Ali Khenchaf. "Ship Profile Imaging Using Multipath Backscattering." Remote Sensing 11, no. 7 (March 27, 2019): 748. http://dx.doi.org/10.3390/rs11070748.

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This paper addresses the estimation of the height of a point scatterer over a sea surface via multipath exploitation for a High Range Resolution radar that is using pulse range compression, such as Synthetic Aperture Radars. We first focus our attention on the physical model, in particular on the specular/diffuse reflection coefficients, this coefficients being derived from the empirical Miller Brown and Vegh model. The gravity waves are also simulated since they modify the acquisition geometry such as the local grazing angle. Secondly, the signal model is derived, thus allowing an easy derivation of the time delays (direct echo and replicas), these time delays being converted into a height estimation for possible automatic ship recognition applications. Our algorithm is a non-conventional radar signal processing, in other words it uses the backscattered pulse over before range compression and demodulation. The aim of the paper is to understand for which radar and sea parameters, as well as acquisition scenes, it is possible to extract the scatterer height information using the multipath of the backscattered electromagnetic wave.
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Grydeland, T., F. D. Lind, P. J. Erickson, and J. M. Holt. "Software Radar signal processing." Annales Geophysicae 23, no. 1 (January 31, 2005): 109–21. http://dx.doi.org/10.5194/angeo-23-109-2005.

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Abstract. Software infrastructure is a growing part of modern radio science systems. As part of developing a generic infrastructure for implementing Software Radar systems, we have developed a set of reusable signal processing components. These components are generic software-based implementations for use on general purpose computing systems. The components allow for the implementation of signal processing chains for radio frequency signal reception, correlation-based data processing, and cross-correlation-based interferometry. The components have been used to implement the signal processing necessary for incoherent scatter radar signal reception and processing as part of the latest version of the Millstone Hill Data Acquisition System (MIDAS-W). Several hardware realizations with varying capabilities have been created, and these have been used successfully with different radars. We discuss the signal processing components in detail, describe the software patterns in which they are used, and show example data from the Millstone Hill, EISCAT Svalbard, and SOUSY Svalbard radars.
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Sivananthan, S., T. Kirubarajan, and Y. Bar-Shalom. "Radar power multiplier for acquisition of low observables using an ESA radar." IEEE Transactions on Aerospace and Electronic Systems 37, no. 2 (April 2001): 401–18. http://dx.doi.org/10.1109/7.937458.

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Čáp, Miroslav, Michal Polák, Tomáš Plachý, Milan Talich, Jan Havrlant, Lubomír Soukup, and Filip Antoš. "The footbridge Jesípek – application of radar interferometry for dynamic response evaluation." Acta Polytechnica CTU Proceedings 40 (July 24, 2023): 8–14. http://dx.doi.org/10.14311/app.2023.40.0008.

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Recent advances in radar systems have led to the development of radar interferometry (RI) methods for contactless vibration monitoring of large-scale structures, i.e. bridges, water tower reservoirs, and factory chimneys. Interferometric radars are devices capable to measure with 200 Hz sampling frequency and relative movement precision of 0.1 mm up to 0.01 mm. The major part of this paper describes an in-situ footbridge experiment near Hradec Králové. Radar interferometry devices were deployed along with ordinary techniques compounded by accelerometers, wiring, and acquisition station. Experiment was focused on the evaluation of basic dynamic structural properties such as natural frequencies and mode shapes. A lot of attention was also given to the result comparison of these measurement methods. Test results have confirmed the applicability of RI for bridge vibration monitoring.
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Pazmany, Andrew L., James B. Mead, Howard B. Bluestein, Jeffrey C. Snyder, and Jana B. Houser. "A Mobile Rapid-Scanning X-band Polarimetric (RaXPol) Doppler Radar System." Journal of Atmospheric and Oceanic Technology 30, no. 7 (July 1, 2013): 1398–413. http://dx.doi.org/10.1175/jtech-d-12-00166.1.

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Abstract A novel, rapid-scanning, X-band (3-cm wavelength), polarimetric (RaXPol), mobile radar was developed for severe-weather research. The radar employs a 2.4-m-diameter dual-polarized parabolic dish antenna on a high-speed pedestal capable of rotating the antenna at 180° s−1. The radar can complete a 10-elevation-step volume scan in about 20 s, while maintaining a 180-record-per-second data rate. The transmitter employs a 20-kW peak-power traveling wave tube amplifier that can generate pulse compression and frequency-hopping waveforms. Frequency hopping permits the acquisition of many more independent samples possible than without frequency hopping, making it possible to scan much more rapidly than conventional radars. Standard data products include vertically and horizontally polarized equivalent radar reflectivity factor, Doppler velocity mean and standard deviation, copolar cross-correlation coefficient, and differential phase. This paper describes the radar system and illustrates the capabilities of the radar through selected analyses of data collected in the U.S. central plains during the 2011 spring tornado season. Also noted are opportunities for experimenting with different signal-processing techniques to reduce beam smearing, increase sensitivity, and improve range resolution.
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Liu, Yongxiang, Dekang Zhu, Xiang Li, and Zhaowen Zhuang. "Micromotion Characteristic Acquisition Based on Wideband Radar Phase." IEEE Transactions on Geoscience and Remote Sensing 52, no. 6 (June 2014): 3650–57. http://dx.doi.org/10.1109/tgrs.2013.2274478.

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Dissertations / Theses on the topic "Radar acquisition"

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Modise, Stephen Karabo. "Development of a real time radar acquisition system." Master's thesis, University of Cape Town, 2002. http://hdl.handle.net/11427/7704.

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The Geosonde radar system, developed for use in bore holes, includes a data acquisition system. Development is currently being conducted by the Radar Remote Sensing Group at the University of Cape Town and Stellenbosch University. This thesis describes the development of a real time operating system and an overall upgrade of basic interfaces to the Geosonde system. The current system employs the use of an embedded MS-DOS operating system and supports basic user control and data exporting over a serial line. The objectives of this thesis are to perform major upgrades on the system by introducing an XML based form of network control and NTP synchronization of the processing board. As a result, an investigation into the adequacy of MS-DOS as a target operating system, bearing in mind the intended upgrades, was carried out. Taking into consideration the failings of MS-DOS as far as the system requirements are concerned, an investigation into available real time executives was conducted and a decision based on the requirements was made. Embedded GNU/Linux was chosen as the target software platform. The software design of the application shows all the necessary design issues considered. The implementation phase of the thesis describes all the tools necessary to implement the embedded Linux system and all the components necessary to meet the needs of the Geosonde system. The network and serial interfaces were tested and shown to be fully functional. The XML based control in particular offers a more flexible and more platform independent solution than the serial interface.
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Montes, Felix G. "Digital data acquisition for laser radar for vibration analysis." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA350185.

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Thesis (M.S. in Applied Physics) Naval Postgraduate School, June 1998.
Thesis advisor(s): Robert C. Harney, D. Scott Davis. "June 1998." Includes bibliographical references (p. 45-46). Also available online.
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Ehrman, Lisa M. "Automatic target recognition using passive radar and a coordinated flight model." Thesis, Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-06072004-131128/unrestricted/ehrman%5Flisa%5Fm%5F200405%5Fms.pdf.

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Saintenoy, Albane. "Radar geologique : acquisition de donnees multi-deports pour une mesure multi-parametres." Paris 7, 1998. http://www.theses.fr/1998PA077144.

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Le radar geologique est un appareil susceptible d'imager les contrastes des parametres electromagnetiques presentes par un milieu. Les trois parametres apparaissant dans les equations de maxwell sont, la permittivite electrique, la conductivite electrique et la permeabilite magnetique. Il n'est pas evident que les contrastes de chacun de ces parametres soient distinguables a partir de l'etude des donnees reflexion de radar geologique. Les parametres electromagnetiques sont positifs non-nuls. Leurs valeurs observees dans les milieux terrestres conduisent naturellement a l'introduction de parametres logarithmiques. L'analyse d'une heterogeneite dans un milieu homogene, lineaire et isotrope, soumis a un champ electromagnetique incident apprend plusieurs choses. Tout d'abord, contrairement a l'intuition, les effets magnetiques sont aussi importants que les effets electriques. Par ailleurs, les anomalies de permittivite electrique logarithmique seule ont le meme comportement que celles de conductivite electrique logarithmique seule. En champ lointain, un contraste ponctuel dans les proprietes electriques d'un milieu, reagit comme un petit dipole electrique dans la direction du champ electrique incident. Par contre, un contraste ponctuel dans les proprietes magnetiques seules, reagit comme un petit dipole magnetique. Pour aborder le probleme inverse, il est plus interessant de decrire un milieu par son impedance effective logarithmique et sa vitesse effective logarithmique. Car, une image radar obtenue en mode monostatique est une image directe des contrastes d'impedance effective. Et, une image radar obtenue avec un assez grand deport contient de l'information sur les contrastes de vitesse effective. Ces deux conclusions sont illustrees par la simulation de l'amplitude du champ diffracte en champ lointain par une anomalie petite devant la longueur d'onde du champ incident, en tenant compte des diagrammes de rayonnement du point diffractant et des antennes emettrice et receptrice, ainsi que de la dispersion geometrique. Les developpements theoriques suggerent l'acquisition de donnees experimentales dans une cuve pleine d'eau. Malgre des difficultes (niveau de bruit trop important et intervalle de deport trop faible), ces donnees montrent qu'il est envisageable de determiner experimentalement les diagrammes de rayonnement des antennes, et valident les simulations.
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Zhang, Guifu. "Detection and imaging of targets in the presence of clutter based on angular correlation function /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/6085.

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Booth, Adam David. "Acquisition and Processing of Three-Dimensional, Multi-Offset Archaeological Ground Penetrating Radar Data." Thesis, University of Plymouth, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494128.

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Kingston, Derek Bastian. "Decentralized control of multiple UAVs for perimeter and target surveillance /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2057.pdf.

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Käll, Daniel, and Emelie Lannerhjelm. "Design and Development of Data Acquisition/Processing and Communication Interface for Radar Front-End." Thesis, Linköpings universitet, Fysik och elektroteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133208.

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This thesis follows the design process of a back end. The purpose of this back end is to interface a radar front end, developed by Acreo Swedish ICT, and stream it’s digitalized output to a PC using Universal Serial Bus (USB) 3.0. The front end, which acts as a basis for this project, is a Frequency Modulated Continuous Wave (FMCW) radar which is connected to the back end by a header. The header connects the digitalized radar signals, together with two SPI-buses and a few GPIO pins. Thus, enabling configuration and set up of the front end board via a PC. The result of the thesis is a data acquisition board that can be used to interface with the front end. The implemented back end features an FPGA to handle the ADC data from the front end, so the board has DSP capabilities, but can also stream the raw radar data. The FPGA is connected to a USB 3.0 controller through a 32-bit parallel interface. The configuration of the front end, via the produced board, is verified in it’s functionality and can be controlled by a PC using a simple GUI. Commands are sent through the USB 3.0 controller to a front end controller which handles the communication. Since getting the hardware functional has been the main objective of the thesis, the project has been deemed to be successful. The final result is a back end radar prototype, which has the requested core hardware functionalities. In addition to this, the prototype has the capacity to act as a platform for further expanding its functionality after a hand over of the project to Acreo Swedish ICT.
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James, Russell W., and James C. Bevier. "ACQUISITION AND DISTRIBUTION OF TSPI DATA USING COTS HARDWARE OVER AN ETHERNET NETWORK." International Foundation for Telemetering, 2003. http://hdl.handle.net/10150/607477.

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International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada
The Western Aeronautical Test Range (WATR) operates the ground stations for research vehicles operating at the NASA Dryden Flight Research Center (DFRC). Recently, the WATR implemented a new system for distributing Time, Space, and Position Information (TSPI) data. The previous system for processing this data was built on archaic hardware that is no longer supported, running legacy software with no upgrade path. The purpose of the Radar Information Processing System (RIPS) is to provide the ability to acquire TSPI data from a variety of sources and process the data for subsequent distribution to other destinations located at the various DFRC facilities. RIPS is built of commercial, off the shelf (COTS) hardware installed in Personal Computers (PC). Data is transported between these computers on a Gigabit Ethernet network. The software was developed using C++ with a modular, object-oriented design approach.
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Joshi, Sujay S. "Multi-Target Tracking via Nonlinear Least Squares Using Doppler Measurements from a Passive Radar System." Thesis, Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14576.

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A passive radar systems opportunistic ability to exploit ambient radio signal reflections makes it ideal for covert target tracking. This strategy, referred to as passive covert radar (PCR) or passive coherent location (PCL), typically exploits FM radio or television signals from powerful local transmitters. In addition to covertness, the absence of a dedicated transmitter helps reduce costs and overall system complexity. While a variety of measurements can be used to estimate a targets position and velocity, such as time difference of arrival (TDOA) and direction of arrival (DOA), this thesis focuses on using only Doppler shift measurements to estimate a targets state. The work presented in this thesis examines the use of Doppler shift measurements from multiple receivers to solve the target tracking and association problem. A nonlinear least squares error (NLSE) estimation technique, called the Levenberg-Marquardt (L-M) algorithm, is used to determine a targets state (position, velocity) from these Doppler shift measurements. More than one target state can potentially produce identical Doppler shift profiles. In a single-receiver, single-target scenario, it is shown that three additional ghost targets caused by symmetry produce the same Doppler shift response. These ghosts may make state estimation impossible if receive antennas are not physically positioned to block out ghost targets. While the NLSE technique tends to give an accurate solution in one quadrant, three other solutions will symmetrically exist in each of the remaining three quadrants. The addition of either another receiver or another measurement (such as DOA) is needed to break this quadrant ambiguity. This thesis considers adding multiple receivers to accurately associate and track multiple targets. Two target association methods (sequential and simultaneous) are developed, and their computational requirements and accuracy are compared. A grid-aided L-M search technique is investigated in an attempt to provide a better initial target state guess to these association and tracking algorithms. The analysis and simulation results suggest it is feasible to perform multi-target association and tracking using Doppler shift as the sole measurement. Both of the proposed methods gave optimal target association and converged to reasonably accurate state estimates in most of the Monte Carlo runs.
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Books on the topic "Radar acquisition"

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Gjessing, Dag T. Target adaptive matched illumination radar: Principles & applications. London: Peter Peregrinus on behalf of the Institution of Electrical Engineers, 1986.

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K, Masten Michael, Stockum Larry A, and Society of Photo-optical Instrumentation Engineers., eds. Acquisition, tracking, and pointing VII: 15-16 April 1993, Orlando, Florida. Bellingham, Wash., USA: SPIE, 1993.

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K, Masten Michael, Stockum Larry A, and Society of Photo-optical Instrumentation Engineers., eds. Acquisition, tracking, and pointing VI: 22-24 April 1992, Orlando, Florida. Bellingham, Wash., USA: SPIE, 1992.

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K, Masten Michael, Stockum Larry A, and Society of Photo-optical Instrumentation Engineers., eds. Acquisition, tracking, and pointing VII: 15-16 April 1993, Orlando, Florida. Bellingham, Wash: SPIE, 1993.

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Engineers, Institution of Electrical, ed. Introduction to radar target recognition. London: Institution of Electrical Engineers, 2005.

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Montes, Felix G. Digital data acquisition for laser radar for vibration analysis. Monterey, Calif: Naval Postgraduate School, 1998.

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K, Masten Michael, Stockum Larry A, and Society of Photo-optical Instrumentation Engineers., eds. Acquisition, tracking, and pointing XIV: 26-27 April, 2000, Orlando, USA. Bellingham, Wash: SPIE, 2000.

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Bailey, Steven A. A personal computer-based, multitasking data acquisition system. Washington, D. C: NASA, Scientific and Technical Information Division, 1990.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. A personal computer-based, multitasking data acquisition system. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. A personal computer-based, multitasking data acquisition system. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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Book chapters on the topic "Radar acquisition"

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Della Ventura, Anna, Alessandra Maggioni, Piero Mussio, and Alona Pawlina. "Knowledge Acquisition for Automatic Interpretation of Radar Images." In Image Analysis and Processing, 189–96. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2239-9_20.

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López-Martínez, C., and E. Pottier. "Basic Principles of SAR Polarimetry." In Polarimetric Synthetic Aperture Radar, 1–58. Cham: 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 the description of polarimetric data are reviewed, covering statistical and scattering aspects, the latter in terms of coherent and incoherent decomposition techniques. Finally, polarimetric SAR interferometry and tomography, two acquisition modes that enable the extraction of the 3-D scatterer position and separation, respectively, and their polarimetric characterization, are described.
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Bachiri, Tahar, Gamil Alsharahi, Abdellatif Khamlichi, Mohammed Bezzazi, and Ahmed Faize. "Ground Penetrating Radar Data Acquisition to Detect Imbalances and Underground Pipes." In Lecture Notes in Electrical Engineering, 1013–23. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6893-4_92.

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Molina, Luz E. Torres. "Flood Alert System Using High-Resolution Radar Rainfall Data: Results on Data Acquisition 1 , 2." In Flood Assessment, 255–58. Toronto ; New Jersey : Apple Academic Press, 2017. | Series: Innovations in agricultural & biological engineering: Apple Academic Press, 2017. http://dx.doi.org/10.1201/9781315365923-13.

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Hajnsek, I., G. Parrella, A. Marino, T. Eltoft, M. Necsoiu, L. Eriksson, and M. Watanabe. "Cryosphere Applications." In Polarimetric Synthetic Aperture Radar, 179–213. Cham: 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 reviewing applications of SAR polarimetry to sea ice for the classification of different ice types, the estimation of thickness, and the characterisation of its surface. Finally, an application to the characterisation of permafrost regions is considered. For each application, the used (model-based) decomposition and polarimetric parameters are critically described, and real data results from relevant airborne campaigns and space borne acquisitions are reported.
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Álvarez Casado, Constantino, Pauli Räsänen, Le Ngu Nguyen, Arttu Lämsä, Johannes Peltola, and Miguel Bordallo López. "A Distributed Framework for Remote Multimodal Biosignal Acquisition and Analysis." In Communications in Computer and Information Science, 127–46. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59091-7_9.

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AbstractIn recent times, several studies have presented single-modality systems for non-contact biosignal monitoring. While these systems often yield estimations correlating with clinical-grade devices, their practicality is limited due to constraints in real-time processing, scalability, and interoperability. Moreover, these studies have seldom explored the combined use of multiple modalities or the integration of various sensors. Addressing these gaps, we introduce a distributed computing architecture designed to remotely acquire biosignals from both radars and cameras. This architecture is supported by conceptual blocks that distribute tasks across sensing, computing, data management, analysis, communication, and visualization. Emphasizing interoperability, our system leverages RESTful APIs, efficient video streaming, and standardized health-data protocols. Our framework facilitates the integration of additional sensors and improves signal analysis efficiency. While the architecture is conceptual, its feasibility has been evaluated through simulations targeting specific challenges in networked remote photoplethysmography (rPPG) systems. Additionally, we implemented a prototype to demonstrate the architectural principles in action, with modules and blocks operating in independent threads. This prototype specifically involves the analysis of biosignals using mmWave radars and RGB cameras, illustrating the potential for the architecture to be adapted into a fully distributed system for real-time biosignal processing.
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Brumana, R. "How to Measure Quality Models? Digitization into Informative Models Re-use." In 3D Research Challenges in Cultural Heritage III, 77–102. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35593-6_5.

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Abstract3D models from passive muted subjects, often used in the books and in preservation design reports as powerful images dense of contents, have nowadays the opportunity to become 'live gears’ leveraging knowledge, interpretation, and management into preservation objectives till to better-informed fruition. To this aim, we need to build up reliable and re-usable 3D Quality models. How to shift from a 3D model toward a 3D quality model?This contribution intends to focus on the parameters defining a 3D Quality model catching the heritage complexity with its components in a holistic methodological and practical vision. A radar chart has been used to manage all the parameters. First of all, Geometry describes a quality model: parameters for data acquisition, on-site surveying, and model processing to obtain 2D-3D Geometry quality are defined. The concept of scale associated with measurable parameters defining the Grade of Accuracy is proposed and applied to the surveying and to the 3D models. 3D models can be considered tools to decode the complexity of cultural heritage made by the different transformations across the centuries, anthropic-natural hazards, climate change threats and events (such as earthquakes, fires, wars). Thus, Geometry is not enough to describe such complexity; it represents the first step. Materials and Construction technologies analysis is the second pillar qualifying a quality model. The connection with the indirect data source (i.e., historical reports and archives documents), is the third pillar to be reconnected to the Geometry and Material analysis in the quality definition. HBIM represents a multidisciplinary environment to convey the information related to geometry and models. Furtherly, several parameters are identified to describe the quality of informative models, as in the case of Object Libraries and Building archeology progressively feeding such models. BIM Level of Developments (phases) and Level of Geometry (contents, not scale!) have been adapted to the HBIM, introducing digitization, surveying, and HBIM modeling into the preservation process. Finally, a quality model is defined by the capability to be re-used circulating Information and Models among the end-users as in the case of informed VR/AR through CDE and XR platforms.
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Picetti, Francesco. "How Deep Learning Can Help Solving Geophysical Inverse Problems." In Special Topics in Information Technology, 141–52. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_12.

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AbstractThis brief summarizes some of the main results I obtained during my Ph.D. studies at Politecnico di Milano, under the supervision of Professor Stefano Tubaro. The thesis provides contributions to understanding the advantages, and limitations, of data-driven deep learning approaches to geophysical inverse problems, with a special focus on Convolutional Neural Networks (CNNs). Exploration Geophysics aims at estimating accurate physical properties of the Earth subsurface from seismic data acquired close to the surface. Seismic data show a great variety of statistically relevant and independent patterns. I devise Deep Learning methods to solve several geophysical tasks by learning such patterns. First, I devise generative networks as a post-processing operator for refining reflectivity images. When trained on pure image datasets, these networks suffer from the lack of physical knowledge. Then, I show a different approach named Deep Priors, which are CNNs that precondition the inverse problem. In particular, I develop a scheme to interpolate seismic data. Finally, I leverage the features extraction ability of CNNs for buried landmine detection on Ground Penetrating Radar (GPR) acquisitions. While the presented methods are effective compared to the state of the art, improvements can be achieved by integrating pure data-driven algorithms within general inverse problems theory through a-priori information derived from domain knowledge.
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Poggi, Francesco, Roberto Montalti, Emanuele Intrieri, Alessandro Ferretti, Filippo Catani, and Federico Raspini. "Spatial and Temporal Characterization of Landslide Deformation Pattern with Sentinel-1." In Progress in Landslide Research and Technology, Volume 2 Issue 1, 2023, 321–29. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39012-8_15.

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AbstractThe results of multi-interferometric processing applied to radar images acquired by the European Space Agency (ESA) Sentinel-1 constellation, obtained in the framework of the IPL (International Programme on Landslides) project n.221, are presented in this manuscript. The target area is the Hunza-Nagar River valley, a remote area in northern Pakistan. The Humarri slide, a massive landslide located along the left side of the valley, is the most active phenomenon in the area, and poses a very high risk to the Humarri village built in the lowest part of the landslide, and a threat of damming the Hispar River. The highest deformation rates (with peaks higher than 300 mm/yr) were recorded in the middle and low part of the landslide. Where the Humarri village is located, the velocity values are lower and range between −30 and −80 mm/yr. The analysis of displacement time series, spanning from February 2017 to January 2020, reveal different deformation behaviors and different onset of accelerating behaviors within the landslide body. The global coverage, the wide-area mapping capabilities, and the regular acquisitions planning ensured by the Sentinel-1 constellation, coupled with InSAR ability to deliver very precise and spatially dense information, make it possible to scan wide areas and spot unstable zones, especially where remoteness, vast areal extension, and climatic conditions make it difficult to undertake field activities.
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"Acquisition modes." In Maritime Surveillance with Synthetic Aperture Radar, 39–66. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/sbra521e_ch3.

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Conference papers on the topic "Radar acquisition"

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HENRION, Jerome, Olivier BOISOT, Remi Baque, Nicolas CASTET, Jean-Francois NOUVEL, and Olivier Ruault du Plessis. "SETHI : Digital radar system for signal generation and acquisition." In 2019 International Radar Conference (RADAR). IEEE, 2019. http://dx.doi.org/10.1109/radar41533.2019.171274.

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Kachelmyer, A. L. "Laser Radar Acquisition And Tracking." In SPIE 1989 Technical Symposium on Aerospace Sensing, edited by Richard J. Becherer. SPIE, 1989. http://dx.doi.org/10.1117/12.960565.

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Zheng, Tong, Libing Jiang, and Zhuang Wang. "MIMO radar three-dimensional imaging via joint time-space observation." In Multispectral Image Acquisition, edited by Xinyu Zhang, Hongshi Sang, and Chao Pan. SPIE, 2020. http://dx.doi.org/10.1117/12.2538046.

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Zhang, Siyuan, Min Li, Zhongyu Li, Junjie Wu, and Jianyu Yang. "SAR Target Enhancement Method via Prior Information Acquisition and Application." In 2021 CIE International Conference on Radar (Radar). IEEE, 2021. http://dx.doi.org/10.1109/radar53847.2021.10028207.

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Blázquez-García, R., D. Cristallini, V. Seidel, J. Heckenbach, A. Slavov, and D. O'Hagan. "Experimental acquisition of starlink satellite transmissions for passive radar applications." In International Conference on Radar Systems (RADAR 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.2304.

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Girault, Alan, Jacques Petit-Frere, and Joan Broussolle. "Generation of IQ data simulating a SAR acquisition: targets in motion, clutter and shadows." In 2019 International Radar Conference (RADAR). IEEE, 2019. http://dx.doi.org/10.1109/radar41533.2019.171242.

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Weigt, M., P. Rizzoli, D. Schulze, M. Bachmann, and B. Bräutigam. "TanDEM-X mission - interferometric performance and global DEM acquisition status." In IET International Conference on Radar Systems (Radar 2012). Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/cp.2012.1626.

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Hossain, Md Anowar, Mobien Shoaib, Muhammad Abdul Hadi, Raza Umar, Khalid Jamil, Rana Arslan Ali Khan, Salaheldin Salem, and Adriano Meta. "X-band SAR Data Acquisition and Frame-based Imaging: Towards Wide Area Surveillance." In 2023 IEEE International Radar Conference (RADAR). IEEE, 2023. http://dx.doi.org/10.1109/radar54928.2023.10371184.

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Pribic, Radmila. "Information-based Analysis of Compressive Data Acquisition." In 2019 IEEE Radar Conference (RadarConf19). IEEE, 2019. http://dx.doi.org/10.1109/radar.2019.8835738.

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Freundorfer, A. P., J. Y. Siddiqui, Y. M. M. Antar, and T. Thayaparan. "Radar signature acquisition using an indigenously designed noise radar system." In SPIE Defense, Security, and Sensing, edited by Kenneth I. Ranney and Armin W. Doerry. SPIE, 2011. http://dx.doi.org/10.1117/12.884389.

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Reports on the topic "Radar acquisition"

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Olson, Timothy E., Colby Dill, and III. Narrowband vs. Wideband Radar Experiment: Precursor Data Acquisition. Fort Belvoir, VA: Defense Technical Information Center, April 2005. http://dx.doi.org/10.21236/ada439313.

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Randell. L51857 Evaluation of Digital Image Acquisition and Processing Technologies for Ground Movement Monitoring. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 2008. http://dx.doi.org/10.55274/r0011244.

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Ground movement may occur due to landslides, seismic activity, adjacent earth works, thaw settlement of permafrost, frost heave, or a variety of other causes. When soil moves relative to a pipeline, loads are imposed on the pipeline that will tend to stress it. Portions of the pipeline are anchored or loaded by the moving soil mass, while adjacent portions are anchored in the intact soil and tend to restrain the pipeline. These soil movements and restraints set up stresses within the pipeline that, depending upon the magnitude of the stresses and the nature of the pipeline, may cause damage or failure of the line. The objectives of this project were to evaluate and, where appropriate, enhance the ability of satellite-based interferometric synthetic aperture radar (InSAR) and airborne laser range-finding to delineate and monitor slope movements along pipeline right-of-ways. Particular emphasis was placed on operational issues, and especially the problems associated with applying these technologies in areas where natural vegetation precludes a straightforward analysis.
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Deschamps, Robert, and Henschel. PR-420-133721-R01 Comparison of Radar Satellite Methods for Observation of Stability. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), July 2015. http://dx.doi.org/10.55274/r0010840.

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This report discusses the use of Synthetic Aperture Radar (SAR) satellites for monitoring above ground pipelines and buried pipeline Rights-Of-Way (ROWs) using Interferometric Synthetic Aperture Radar (InSAR) techniques. The main thrust of the research was to evaluate the suitability of above-ground pipeline support members as InSAR measurement points, and to adapt existing techniques to allow for precise monitoring of jacking and subsidence caused by permafrost degradation and dynamics. The study site at Prudhoe Bay, Alaska includes more than 60,000 horizontal pipeline supports. The known locations of supports were used to identify and isolate supports in the radar imagery, and the phase and intensity of supports were analyzed to determine their ability to provide reliable estimates of deformation. An additional component of this research was the comparison of two satellites operating at different frequencies, RADARSAT-2 operating at C-band and TerraSAR-X operating at X-band. One year of data was acquired with both sensors in similar acquisition geometries and resolutions, at 24-day intervals for RADARSAT-2 and 11-day intervals for TerraSAR-X. Recommendations are made on the choice of wavelength and concerning future work in this area. A list of technical requirements is also provided. The technologies for obtaining ground deformation estimates from natural targets, coherent targets and homogeneous and distributed targets are explained and supported by three operational case-studies in different environments. The work should provide above-ground pipeline operators working in permafrost areas with a clear view of the current state of research towards the operationalization of InSAR monitoring, but also of current operational capabilities in other pipeline applications, including ROW geohazard monitoring and monitoring of buried pipelines crossing Enhanced Oil Recovery (EOR) fields.
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Bingham-Koslowski, N., T. McCartney, J. Bojesen-Koefoed, and C. Jauer. Hydrocarbon resource potential in the Labrador-Baffin Seaway and onshore West Greenland. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/321859.

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Exploration for hydrocarbons began in the Labrador-Baffin Seaway in the 1960s; activity along the Labrador margin is still ongoing. A moratorium on exploration activities in the Canadian Arctic was enacted in 2016, halting drilling and data acquisition in western Davis Strait and along the Baffin Island margin. The exploration for hydrocarbons along the West Greenland margin ceased in 2021. Despite the presence of all hydrocarbon system elements as well as direct indicators of at least one working hydrocarbon system (e.g. slicks and/or seeps, oil and/or gas shows), no commercially viable accumulations of hydrocarbons have been discovered in the region. Potential sea-surface hydrocarbon slicks have been identified throughout the study region using synthetic aperture radar, but only the slick offshore Scott Inlet (Nunavut) has been directly linked to seafloor hydrocarbon seepage.
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Hardy, Chris, Muthu Gandi, Adam Burry, and Desmond Power. PR-271-143716-R02 Bayesian Belief Network (BBN) Decision Support for Pipeline Third Party Interference. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), October 2018. http://dx.doi.org/10.55274/r0011530.

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Satellite monitoring offers unique advantages to the industry in meeting the objectives of managing third-party encroachment to mitigate the potential of mechanical damage. Satellite monitoring of third-party encroachment involves a persistent acquisition of satellite imagery over a pipeline right-of-way (ROW), combined with computerized change detection to identify potentially hazardous activities. Monitoring using satellite synthetic aperture radar (SAR) provides an all-weather day or night monitoring of a specific geographic location. This monitoring service can be enhanced with third-party information to increase the confidence in targets detected within satellite imagery. This information can also be used to reduce false positives. A simplistic example of this would be to use road location information overlaid with target information. A target found on a road, such as a tractor-trailer rolling down a highway, represents a small risk to a pipeline and subsequently can be given a lower risk or even be removed as a threat altogether. On the other hand, a large vehicle in a field near a pipeline and not on a road may represent a higher risk to a pipeline. The higher confidence data in-turn allows pipeline integrity operations staff to focus on the higher probability targets, saving time and resources, while maintaining safety standards. This concept has been implemented in the form of a Bayesian Belief Network (BBN) Decision Support System (DSS) that integrates with CalPoly's Representational State Transfer Access for Pipeline Integrity Database (RAPID). RAPID houses multiple data sources such as roads, utilities, agriculture, and construction information to increase target confidence. Both the BBN-DSS and RAPID were developed under the same DOT Cooperative Agreement (OASRTRS-14-H-CAL).
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Di Marca, Orazio A., Stephen B. Rejto, and Thomas Gomez. Open System Design and Evolutionary Acquisition Application To The National Missile Defense Family of Radars. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada381070.

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Burgess, D. O., and L. Gray. Firn dielectric properties derived using data from the high bandwidth (5-18 GHz) surface radar acquisitions at the Summit Camp, Devon Ice Cap, Nunavut, 2008. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2012. http://dx.doi.org/10.4095/289902.

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L41038 Digital Image Acquisition and Processing Technologies for Ground Movement Monitoring of Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), November 2000. http://dx.doi.org/10.55274/r0011284.

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The objectives of this project were to evaluate and, where appropriate, enhance the ability of satellite-based interferometric synthetic aperture radar (InSAR) and airborne laser range-finding to delineate and monitor slope movements along pipeline right-of-ways. Particular emphasis was placed on operational issues, and especially the problems associated with applying these technologies in areas where natural vegetation precludes a straightforward analysis.
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PR-271-143716-R01 Satellite Remote Sensing for Pipeline Encroachment Monitoring Activities. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 2016. http://dx.doi.org/10.55274/r0010853.

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Satellite monitoring offers unique advantages to the industry in meeting the objectives of managing third party encroachment to mitigate the potential of mechanical damage. Satellite monitoring of third party encroachment involves persistent acquisition satellite imagery over a pipeline right-of-way (ROW), combined with computerized change detection and to identify potentially hazardous activities. Monitoring using satellite synthetic aperture radar (SAR) provides all-weather day or night monitoring of a specific geographic location. The service can be improved by including the detection of environmental disturbances (as opposed to simple vehicle detection) and improving the detection and false alarm rates of vehicle targets. These objectives were achieved by optimization techniques using a set of satellite data collected for Alliance Pipeline around Blue Earth, Minnesota.
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