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Author: Krishna Vikas Gudipati
Publisher:
ISBN:
Category : Interferometry
Languages : en
Pages : 394
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Book Description
This dissertation provides the first demonstration of scanning synthetic aperture radar (ScanSAR) advanced interferometry processing for measuring surface deformation. ScanSAR data are synthesized from ERS-1/2 stripmap SAR images over known deformation in Phoenix, Arizona. The strategy is to construct a burst pattern similar to Envisat ScanSAR data and to create a realistic variable-burst synchronization scenario in which any image pair has at least 50% burst overlap. The Small Baseline Subsets technique is applied to the synthesized data to demonstrate ScanSAR time series analysis for a scenario generally conducive for interferometry. The same processing approach is employed with the stripmap data to validate the results. The differences in ScanSAR and stripmap velocities have a mean and standard deviation of 0.02"0.02 cm/year. 96.3% and 99.1% of the velocity differences are within "0.1 cm/year and "0.2 cm/year, respectively. The RMS deviations between the ScanSAR and stripmap displacement estimates are 0.40"0.30 cm. 68.5% and 94.6% of the differences are within "0.5 cm and "1.0 cm, respectively. The Permanent Scatterer (PS) technique also is adapted and applied to the synthesized data to demonstrate the presence of PS in ScanSAR data. The atmospheric and nonlinear motion phase derived from a PS analysis of stripmap data are removed from the ScanSAR interferograms. Even for this idealized scenario, the final PS identification yields fewer ScanSAR PS (10 PS/km2) than the stripmap PS results (312 PS/km2 or 15.6 PS/km2 at the ScanSAR pixel resolution). Based on the calculated likelihood of finding multiple stripmap PS within a ScanSAR pixel, it is concluded that the ScanSAR single scatterer PS model is flawed. A model is introduced that considers multiple PS within a ScanSAR pixel. The search for two PS per pixel yields 120 PS/km2. The ScanSAR and stripmap PS velocity differences mean is zero and standard deviation is 0.02 cm/year. However, while the differences between the ScanSAR and stripmap PS DEM error estimates are zero-mean, they have a 7-meter standard deviation. One possible explanation for this relatively large deviation is the differencing of the wrong ScanSAR and stripmap PS as the result of a misalignment between the ScanSAR and stripmap images.
Author: Krishna Vikas Gudipati
Publisher:
ISBN:
Category : Interferometry
Languages : en
Pages : 394
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Book Description
This dissertation provides the first demonstration of scanning synthetic aperture radar (ScanSAR) advanced interferometry processing for measuring surface deformation. ScanSAR data are synthesized from ERS-1/2 stripmap SAR images over known deformation in Phoenix, Arizona. The strategy is to construct a burst pattern similar to Envisat ScanSAR data and to create a realistic variable-burst synchronization scenario in which any image pair has at least 50% burst overlap. The Small Baseline Subsets technique is applied to the synthesized data to demonstrate ScanSAR time series analysis for a scenario generally conducive for interferometry. The same processing approach is employed with the stripmap data to validate the results. The differences in ScanSAR and stripmap velocities have a mean and standard deviation of 0.02"0.02 cm/year. 96.3% and 99.1% of the velocity differences are within "0.1 cm/year and "0.2 cm/year, respectively. The RMS deviations between the ScanSAR and stripmap displacement estimates are 0.40"0.30 cm. 68.5% and 94.6% of the differences are within "0.5 cm and "1.0 cm, respectively. The Permanent Scatterer (PS) technique also is adapted and applied to the synthesized data to demonstrate the presence of PS in ScanSAR data. The atmospheric and nonlinear motion phase derived from a PS analysis of stripmap data are removed from the ScanSAR interferograms. Even for this idealized scenario, the final PS identification yields fewer ScanSAR PS (10 PS/km2) than the stripmap PS results (312 PS/km2 or 15.6 PS/km2 at the ScanSAR pixel resolution). Based on the calculated likelihood of finding multiple stripmap PS within a ScanSAR pixel, it is concluded that the ScanSAR single scatterer PS model is flawed. A model is introduced that considers multiple PS within a ScanSAR pixel. The search for two PS per pixel yields 120 PS/km2. The ScanSAR and stripmap PS velocity differences mean is zero and standard deviation is 0.02 cm/year. However, while the differences between the ScanSAR and stripmap PS DEM error estimates are zero-mean, they have a 7-meter standard deviation. One possible explanation for this relatively large deviation is the differencing of the wrong ScanSAR and stripmap PS as the result of a misalignment between the ScanSAR and stripmap images.
Author: Gianfranco Fornaro
Publisher: Elsevier
ISBN: 0128216573
Category : Technology & Engineering
Languages : en
Pages : 392
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Book Description
Multi-Dimensional Imaging with Synthetic Aperture Radar: Theory and Applications provides a complete description of principles, models and data processing methods, giving an introduction to the theory that underlies recent applications such as topographic mapping and natural risk situational awareness – seismic-tectonics, active volcano, landslides and subsidence monitoring - security, urban, wide area and infrastructure control. Imaging radars, specifically Synthetic Aperture Radar (SAR), generally mounted onboard satellites or airplanes, are able to provide systematic high-resolution imaging of the Earth's surface. Recent advances in the field has seen applications to natural risk monitoring and security and has driven the development of many operational systems. Explains the modeling and data processing involved in interferometric and tomographic SAR Shows the potential and limitations of using SAR technology in several applications Presents the link between basic signal processing concepts and state-of-the-art capabilities in imaging radars Explains the use of basic SAR processing tools and datasets
Author: Slaven Kalenjuk
Publisher:
ISBN: 9783844091250
Category :
Languages : en
Pages : 0
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Author: Homa Ansari
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Michele Crosetto
Publisher: MDPI
ISBN: 3039211269
Category : Technology & Engineering
Languages : en
Pages : 308
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Book Description
This book focuses on remote sensing for urban deformation monitoring. In particular, it highlights how deformation monitoring in urban areas can be carried out using Persistent Scatterer Interferometry (PSI) and Synthetic Aperture Radar (SAR) Tomography (TomoSAR). Several contributions show the capabilities of Interferometric SAR (InSAR) and PSI techniques for urban deformation monitoring. Some of them show the advantages of TomoSAR in un-mixing multiple scatterers for urban mapping and monitoring. This book is dedicated to the technical and scientific community interested in urban applications. It is useful for choosing the appropriate technique and gaining an assessment of the expected performance. The book will also be useful to researchers, as it provides information on the state-of-the-art and new trends in this field
Author: Mudathir Omer A. Mohamed
Publisher:
ISBN: 9783330852174
Category :
Languages : en
Pages : 164
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Author: Michael Shawn Seymour
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Clemence Chee
Publisher: GRIN Verlag
ISBN: 3656364370
Category : Technology & Engineering
Languages : en
Pages : 48
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Book Description
Bachelor Thesis from the year 2012 in the subject Engineering - Aerospace Technology, grade: 1,3, Technical University of Munich (Deutsches Zentrum für Luft- und Raumfahrt), course: Photogrammetrie und Fernerkundung, language: English, abstract: Driven by military and civilian applications, the demand of very high resolution mapping and accurate monitoring has increased rapidly over the recent years. Nowadays, it is possible to create 4D models involving time variations using multiple synthetic aperture radar (SAR) images, combined with interferometric methods. SAR has evolved to satisfy a variety of applications for civilian and military users, for example by supporting catastrophe management, detection of geological changes, monitoring large construction sites or mines. With the help of SAR data obtained from the TerraSAR-X satellite, infrastructural monitoring is made possible from a distance. The benefit of this is that potential collapse within mines or tunnels could be prevented. Concrete degradation that could lead to building collapse, endangering people’s lives can also be identified before any catastrophe has the chance to occur. Currently, Tomographic SAR (TomoSAR) is the most advanced and competent interferometric SAR (InSAR) method in the area of urban monitoring. TomoSAR makes monitoring in 4D possible by creating the 3D position with the motion parameters. This thesis applies a new TomoSAR technique and method, developed by ZHU and her colleagues, 2012 [1], on a very high resolution (VHR) spotlight data stack in the area of Berlin. The images were taken by the TerraSAR-X satellite (Germany) over a timeframe of 3 years. The result is a 3D point cloud of the observed area, with the velocity of linear motion and the amplitude of periodic motion. The result of the work that forms the basis for this thesis, is the realization of high deformation and motion in Berlin’s infrastructure, especially around Berlin’s main station, on bridges (” Überflieger Brücke”) and railways - often up to 10mm.
Author: ANDREI ANGHEL
Publisher: Springer
ISBN: 9811032173
Category : Technology & Engineering
Languages : en
Pages : 90
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Book Description
This book presents a novel non-intrusive infrastructure monitoring technique based on the detection and tracking of scattering centers in spaceborne SAR images. The methodology essentially consists of refocusing each available SAR image on an imposed 3D point cloud associated to the envisaged infrastructure element and identifying the reliable scatterers to be monitored by means of four dimensional (4D) tomography. The methodology described in this book provides a new perspective on infrastructure monitoring with spaceborne SAR images, is based on a standalone processing chain, and brings innovative technical aspects relative to conventional approaches. The book is intended primarily for professionals and researchers working in the area of critical infrastructure monitoring by radar remote sensing.
Author: Horst Hartinger
Publisher:
ISBN: 9783826594847
Category :
Languages : en
Pages : 183
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