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BL
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| Record Number
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889109
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| Main Entry
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Chen, Si-Wei
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| Title & Author
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Target scattering mechanism in polarimetric synthetic aperture radar : : interpretation and application /\ Si-Wei Chen, Xue-Song Wang, Shun-Ping Xiao, Motoyuki Sato.
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| Publication Statement
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Singapore :: Springer,, 2018.
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| Page. NO
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1 online resource (xiv, 225 pages) :: illustrations
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| ISBN
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9789811072680
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: 9789811072697
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: 981107268X
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: 9811072698
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9789811072680
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| Bibliographies/Indexes
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Includes bibliographical references.
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| Contents
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Intro; Preface; Acknowledgements; Contents; 1 Fundamentals of Polarimetric Radar Imaging and Interpretation; 1.1 Radar Polarimetry Basics; 1.1.1 Polarization of Electromagnetic Wave; 1.1.2 Polarimetric Scattering Matrix; 1.1.3 Polarization Basis Transformation; 1.1.4 Polarimetric Coherency Matrix in Linear Polarization Basis; 1.1.5 Polarimetric Covariance Matrix in Linear Polarization Basis; 1.1.6 Polarimetric Covariance Matrix in Circular Polarization Basis; 1.2 Polarimetric Radar Imaging; 1.2.1 SAR Overview; 1.2.2 SAR Imaging Principles; 1.2.3 PolSAR Principles; 1.2.4 InSAR Principles.
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1.2.5 PolInSAR Principles1.3 Target Scattering Mechanism Interpretation Overview; 1.3.1 Basic Eigenvalue-Eigenvector-Based Decomposition; 1.3.2 Basic Model-Based Decomposition; 1.3.2.1 Volume Scattering Model; 1.3.2.2 Double-Bounce Scattering Model; 1.3.2.3 Odd-Bounce Scattering Model; 1.3.2.4 Helix Scattering Model; 1.3.2.5 Conventional Three- and Four-Component Decompositions; 1.3.3 Polarization Orientation Angle and Orientation Compensation; 1.3.3.1 Polarimetric Orientation Angle Estimation; 1.3.3.2 Orientation Compensation; 1.4 Summary; References.
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2 Advanced Polarimetric Target Decomposition2.1 Introduction; 2.2 Limitations of Classical Model-Based Decomposition; 2.2.1 Dynamic Range of Volume Scattering Component; 2.2.2 Orientation Compensation and Its Limitation; 2.2.2.1 Polarization Orientation Angle; 2.2.2.2 Orientation Compensation Effect on Cross-Polarization Term; 2.2.2.3 Orientation Compensation Effect on Decomposed Volume Scattering Component; 2.2.2.4 Orientation Compensation Effect on Model-Based Decomposition; 2.2.2.5 Discussions and Perspectives; 2.3 Recent Advances in Model-Based Decomposition.
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2.3.1 Orientation Compensation Processing2.3.2 Nonnegative Eigenvalue Constraint; 2.3.3 Generalized Volume Scattering Models; 2.3.4 Generalized Double- and Odd-Bounce Scattering Models; 2.3.5 Complete Information Utilization; 2.3.6 Full-Parameter Inversion Strategy; 2.3.7 Fusion of Polarimetric-Interferometric Information; 2.4 Adaptive Polarimetric-Interferometric Model-Based Decomposition; 2.4.1 PolInSAR Coherence Diversity Investigation; 2.4.1.1 Decorrelation Source; 2.4.1.2 Demonstration and Investigation; 2.4.2 Adaptive Model-Based Decomposition Development.
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2.4.2.1 Development Principle of Adaptive Volume Scattering Model2.4.2.2 Adaptive Volume Scattering Model; 2.4.2.3 Adaptive Decomposition Scheme; 2.4.3 Experiment with Airborne PolInSAR Data; 2.4.3.1 Model Parameter Selection and Comparison; 2.4.3.2 Decomposition Comparison; 2.4.4 Experiment with Spaceborne PolInSAR Data; 2.4.4.1 Decomposition Comparison; 2.4.4.2 Further Comparison Over Oriented Built-Up Patches; 2.4.5 Discussions and Perspectives; 2.4.5.1 Effect of Decorrelation Sources; 2.4.5.2 Overestimation of Volume Scattering Power; 2.4.6 Brief Summary.
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| Abstract
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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.
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| Subject
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Microwave remote sensing.
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| Subject
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Synthetic aperture radar.
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| Subject
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Microwave remote sensing.
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| Subject
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Synthetic aperture radar.
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| Subject
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TECHNOLOGY ENGINEERING-- Mechanical.
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| Dewey Classification
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621.36/78
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| LC Classification
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G70.4
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| Added Entry
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Sato, Motoyuki
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Wang, Xue-Song
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Xiao, Shun-Ping
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