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E-grāmata: Target Scattering Mechanism in Polarimetric Synthetic Aperture Radar: Interpretation and Application

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  • Formāts: EPUB+DRM
  • Izdošanas datums: 21-Apr-2018
  • Izdevniecība: Springer Verlag, Singapore
  • Valoda: eng
  • ISBN-13: 9789811072697
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Target Scattering Mechanism in Polarimetric Synthetic Aperture Radar: Interpretation and ApplicationPalielināt
  • Formāts: EPUB+DRM
  • Izdošanas datums: 21-Apr-2018
  • Izdevniecība: Springer Verlag, Singapore
  • Valoda: eng
  • ISBN-13: 9789811072697
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This book presents new and advanced concepts, theories and methodologies in polarimetric synthetic aperture radar (PolSAR) target scattering mechanism modeling and interpretation, which is dedicated to bridge the gap between the acquired data and practical applications. It proposes adaptive and generalized polarimetric target decompositions, to precisely interpret the target scattering mechanisms. Further, it develops a uniform polarimetric matrix rotation theory and a polarimetric coherence pattern visualization and interpretation tool to completely explore and characterize the deep information and target signatures in the rotation domain. Finally, it demonstrates land cover classification, target detection, natural disaster damage investigation and mapping applications which use the novel scattering mechanism investigation tools.

The book is a valuable resource for senior undergraduate and postgraduate students, teachers, engineers and researchers in the field of microwave remote sensing, radar polarimetry, imaging radar, and environmental studies.

1 Fundamentals of Polarimetric Radar Imaging and Interpretation 1(42)
1.1 Radar Polarimetry Basics
2(8)
1.1.1 Polarization of Electromagnetic Wave
2(3)
1.1.2 Polarimetric Scattering Matrix
5(1)
1.1.3 Polarization Basis Transformation
6(1)
1.1.4 Polarimetric Coherency Matrix in Linear Polarization Basis
7(1)
1.1.5 Polarimetric Covariance Matrix in Linear Polarization Basis
8(1)
1.1.6 Polarimetric Covariance Matrix in Circular Polarization Basis
9(1)
1.2 Polarimetric Radar Imaging
10(12)
1.2.1 SAR Overview
10(1)
1.2.2 SAR Imaging Principles
11(2)
1.2.3 PoISAR Principles
13(3)
1.2.4 InSAR Principles
16(3)
1.2.5 PoIInSAR Principles
19(3)
1.3 Target Scattering Mechanism Interpretation Overview
22(16)
1.3.1 Basic Eigenvalue-Eigenvector-Based Decomposition
24(3)
1.3.2 Basic Model-Based Decomposition
27(7)
1.3.3 Polarization Orientation Angle and Orientation Compensation
34(4)
1.4 Summary
38(1)
References
38(5)
2 Advanced Polarimetric Target Decomposition 43(64)
2.1 Introduction
43(1)
2.2 Limitations of Classical Model-Based Decomposition
44(11)
2.2.1 Dynamic Range of Volume Scattering Component
44(3)
2.2.2 Orientation Compensation and Its Limitation
47(8)
2.3 Recent Advances in Model-Based Decomposition
55(7)
2.3.1 Orientation Compensation Processing
56(3)
2.3.2 Nonnegative Eigenvalue Constraint
59(1)
2.3.3 Generalized Volume Scattering Models
59(1)
2.3.4 Generalized Double- and Odd-Bounce Scattering Models
60(1)
2.3.5 Complete Information Utilization
60(1)
2.3.6 Full-Parameter Inversion Strategy
61(1)
2.3.7 Fusion of Polarimetric-Interferometric Information
62(1)
2.4 Adaptive Polarimetric-Interferometric Model-Based Decomposition
62(18)
2.4.1 Po1InSAR Coherence Diversity Investigation
63(3)
2.4.2 Adaptive Model-Based Decomposition Development
66(4)
2.4.3 Experiment with Airborne PoIInSAR Data
70(5)
2.4.4 Experiment with Spaceborne PoIInSAR Data
75(4)
2.4.5 Discussions and Perspectives
79(1)
2.4.6 Brief Summary
80(1)
2.5 General Model-Based Decomposition
80(19)
2.5.1 General Decomposition Scheme
81(4)
2.5.2 Experimental Results and Analysis
85(6)
2.5.3 Further Analysis
91(7)
2.5.4 Brief Summary
98(1)
2.6 Discussions and Perspectives
99(3)
2.6.1 PoISAR Data Preprocessing Issue
99(1)
2.6.2 Radar Frequency Issue
99(1)
2.6.3 High Spatial Resolution Issue
99(1)
2.6.4 Model Priority Issue
100(1)
2.6.5 Solution Stability
100(1)
2.6.6 Performance Evaluation Issue
101(1)
2.6.7 Further Generalized Modeling
102(1)
2.7 Conclusion
102(1)
References
103(4)
3 Uniform Polarimetric Matrix Rotation Theory 107(36)
3.1 Introduction
107(1)
3.2 Polarimetric Matrix in Rotation Domain
108(4)
3.2.1 Polarimetric Scattering Matrix in Rotation Domain
108(1)
3.2.2 Polarimetric Coherency Matrix in Rotation Domain
109(1)
3.2.3 Cascade Rotation Property
110(1)
3.2.4 Roll-Invariant Terms
111(1)
3.3 Development of the Uniform Polarimetric Matrix Rotation Theory
112(10)
3.3.1 Uniform Representation
112(1)
3.3.2 Interpretation of Oscillation Parameters
113(3)
3.3.3 Further Derived Angle Parameters and Interpretation
116(3)
3.3.4 Links to Huynen Parameters and Interpretation
119(1)
3.3.5 Polarimetric Covariance Matrix in Rotation Domain
120(2)
3.4 Demonstration and Application of Oscillation Parameters
122(4)
3.4.1 Multi-Frequency Pi-SAR Data Description
123(1)
3.4.2 Oscillation Parameters
123(3)
3.5 Demonstration and Application of Angle Parameters
126(5)
3.5.1 Multi-Frequency AIRSAR Data Description
126(1)
3.5.2 Angle Parameters
127(1)
3.5.3 Unsupervised Land Cover Classification
128(3)
3.6 Supervised Classification Demonstration
131(6)
3.6.1 Demonstration with SVM Classifier
132(3)
3.6.2 Demonstration with DT Classifier
135(2)
3.7 Discussions and Perspectives
137(1)
3.7.1 Summary of Roll-Invariant Terms
137(1)
3.7.2 Utilization Perspectives
137(1)
3.8 Conclusion
138(1)
References
139(4)
4 Polarimetric Coherence Pattern: A Visualization and Interpretation Tool 143(38)
4.1 Introduction
143(1)
4.2 Polarimetric Coherence Pattern
144(11)
4.2.1 Definition of Polarimetric Coherence Pattern
144(1)
4.2.2 Visualization and Characterization
145(2)
4.2.3 Interpretation and Discussion
147(2)
4.2.4 Demonstration and Investigation
149(6)
4.3 Classification Development and Application
155(7)
4.3.1 Classification Methodology Development
155(2)
4.3.2 Classification with UAVSAR PoISAR Data
157(1)
4.3.3 Classification with AIRSAR PoISAR Data
157(3)
4.3.4 Discussions and Perspectives
160(2)
4.4 Further Application for Manmade Target Extraction
162(5)
4.4.1 Polarimetric Coherence Enhancement Over Urban Area
163(2)
4.4.2 Manmade Target Extraction
165(2)
4.5 Further Application for Crops Discrimination
167(10)
4.5.1 Polarimetric Coherence Enhancement Over Crop Area
169(2)
4.5.2 Feature Selection and Crops Discrimination
171(6)
4.6 Conclusions
177(1)
References
178(3)
5 Natural Disaster Investigation and Urban Damage Level Mapping 181
5.1 Introduction
181(1)
5.2 Urban Damage Characterization Using Polarimetric Technique
182(18)
5.2.1 Study Area and Data Description
183(3)
5.2.2 Model-Based Decomposition Technique
186(7)
5.2.3 Polarization Orientation Angle Technique
193(7)
5.3 Urban Damage Level Mapping
200(14)
5.3.1 Urban Area Extraction
202(3)
5.3.2 Damage Level Index Estimation
205(1)
5.3.3 Experimental Study and Demonstration
205(9)
5.4 Other Damage Situations Investigation
214(8)
5.4.1 Flooded River Area Analysis Using Spaceborne PoISAR Data
214(3)
5.4.2 Flooded Paddy Field Analysis Using Airborne PoISAR Data
217(5)
5.5 Conclusion
222(1)
References
223
Si-Wei Chen is an Assistant Professor of the State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, School of Electronic Science, National University of Defense Technology, Changsha, China. His research interests include radar polarimetry, synthetic aperture radar, environmental study, natural disaster evaluation, remote sensing big data and deep learning. He has published more than 50 international top journal and conference papers, including Proceedings of the IEEE, IEEE Signal Processing Magazine, IEEE Transactions on Geoscience and Remote Sensing, etc. He has given more than 10 invited presentations at international conferences and top academic institutes. He has co-authored 2 patents and more than 10 patents under pending. Dr. Chen was a recipient of the Young Researcher Award from the IEEE GRSSJapan Chapter in 2011, the Dean Prize from the Graduate School of Environmental Studies, Tohoku University, in 2013, the Best Poster Award from the IET International Radar Conference 2013, the Excellent Paper Award from the IET International Radar Conference 2015, the Excellent Paper Award from the High Resolution Earth Observation Annual Symposium 2017. He was also a receipt of the First Prize and Second Prize for Scientific and Technological Progress, Ministry of Science and Technology of the Peoples Republic of China. He was granted with Tohoku University President Fellowship (20112012) and Chinese Government Overseas Study Scholarship (20092012). Dr. Chen is a Principle Investigator of 3 foundations from the National Natural Science Foundation of China.

Xue-Song Wang is a Professor of the State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, School of Electronic Science and a Vice-Dean of the Graduate School, National University of Defense Technology, Changsha, China. His research interests include radar polarimetry, synthetic aperture radar, signal processing, and target recognition. He is a Fellow of the Chinese Institute of Electronics. He has published more than 300 international top journal and conference papers and has given more than 20 invited presentations at international conferences and top academic institutes. He has co-authored 10 monographs, 13 patents and more than 15 patents under pending. He was a receipt of the Distinguished Scholar Foundation from the National Natural Science Foundation of China. He was also a receipt of the First Prize and Second Prize for Scientific and Technological Progress, Ministry of Science and Technology of the Peoples Republic of China. He is a Principle Investigator of more than 20 foundations from the National Natural Science Foundation of China, Ministry of Science and Technology of the Peoples Republic of China, and so on. He has served as Associate Editor of the Journal of Radar and has been a committee member of other 5 journals.

Shun-Ping Xiao is a Professor and the Director of the State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, School of Electronic Science, National University of Defense Technology, Changsha, China. His research interests include radar polarimetry, synthetic aperture radar, array signal processing, target recognition, electronics and information system simulation and evaluation. He has published more than 200 international top journal and conference papers and has given more than 20 invited presentations at international conferences and top academic institutes. He has co-authored 11 monographs, 10 patents and more than 15 patents under pending. He was also a receipt of the First Prize and Second Prize for Scientific and Technological Progress, Ministry of Science and Technology of the Peoples Republic of China. He is a Principle Investigator of more than 30 foundations from the National Natural Science Foundation of China, Ministry of Science and Technology of the Peoples Republic of China, and so on. He has served as a committee member of many journals and conferences.

Motoyuki Sato is a Distinguished Professor of Graduate School of Environmental Studies, Tohoku University, Sendai, Japan. He was the Director of the Center for Northeast Asian Studies. He is a Fellow of the IEEE. He was a Visiting Professor at Jilin University, Changchun, China, Delft University of Technology, Delft, The Netherlands, and Mongolian University of Science and Technology, Ulaanbaatar, Mongolia. His current interests include transient electromagnetics and antennas, radar polarimetry, GPR, borehole radar, electromagnetic induction sensing, and interferometric and polarimetric SAR. He has conducted the development of GPR sensors for humanitarian demining, and his sensor ALIS which is a hand-held dual sensor, has detected more than 100 mines in mine fields in Cambodia since May 2009. He has published more than 200 international topjournal and conference papers and has given numerous invited presentations at international conferences and top academic institutes. Dr. Sato has been a member of the GRSS Administrative Committee (since 2006), where he is responsible for specialty symposia and Asian issues. He is an Associate Editor of IEEE GRSS Newsletter and a Guest Editor of the special issue of GPR2006 and GPR2010 in the IEEE Transactions on Geoscience and Remote Sensing. He was the Chair of the IEEE GRSS Japan Chapter (20062007). He served as the General Chair of IGARSS2011.
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