Target scattering mechanism in polarimetric synthetic aperture radar : interpretation and application /
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Author / Creator: | Chen, Si-Wei, author. |
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Imprint: | Singapore : Springer, 2018. |
Description: | 1 online resource (xiv, 225 pages) : illustrations |
Language: | English |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11654434 |
Table of Contents:
- 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.
- 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.
- 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.
- 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.
- 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.