Lee / Pottier Polarimetric Radar Imaging

From Basics to Applications
Erscheinungsjahr 2009
ISBN: 978-1-4200-5498-9
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 422 Seiten

The recent launches of three fully polarimetric synthetic aperture radar (PolSAR) satellites have shown that polarimetric radar imaging can provide abundant data on the Earth’s environment, such as biomass and forest height estimation, snow cover mapping, glacier monitoring, and damage assessment. Written by two of the most recognized leaders in this field, Polarimetric Radar Imaging: From Basics to Applications presents polarimetric radar imaging and processing techniques and shows how to develop remote sensing applications using PolSAR imaging radar.

The book provides a substantial and balanced introduction to the basic theory and advanced concepts of polarimetric scattering mechanisms, speckle statistics and speckle filtering, polarimetric information analysis and extraction techniques, and applications typical to radar polarimetric remote sensing. It explains the importance of wave polarization theory and the speckle phenomenon in the information retrieval problem of microwave imaging and inverse scattering. The authors demonstrate how to devise intelligent information extraction algorithms for remote sensing applications. They also describe more advanced polarimetric analysis techniques for polarimetric target decompositions, polarization orientation effects, polarimetric scattering modeling, speckle filtering, terrain and forest classification, manmade target analysis, and PolSAR interferometry.

With sample PolSAR data sets and software available for download, this self-contained, hands-on book encourages you to analyze space-borne and airborne PolSAR and polarimetric interferometric SAR (Pol-InSAR) data and then develop applications using this data.

Zielgruppe

Electrical engineers in polarimetric synthetic aperture radar, electromagnetic imaging, signal processing, and remote sensing.

Autoren/Hrsg.

Lee, Jong-Sen

Pottier, Eric

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Radartechnik

Inhaltsverzeichnis

Overview of Polarimetric Radar Imaging
Brief History of Polarimetric Radar Imaging
SAR Image Formation: Summary
Airborne and Space-Borne PolSAR Systems
Description of the Remaining Chapters

Electromagnetic Vector Wave and Polarization Descriptors
Monochromatic Electromagnetic Plane Wave
Polarization Ellipse
Jones Vector
Stokes Vector
Wave Covariance Matrix

Electromagnetic Vector Scattering Operators
Polarimetric Back Scattering Sinclair S Matrix
Scattering Target Vectors k and Omega
Polarimetric Coherency T and Covariance C Matrices
Polarimetric Mueller M and Kennaugh K Matrices
Change of Polarimetric Basis
Target Polarimetric Characterization
PolSAR Speckle Statistics
Fundamental Property of Speckle in SAR Images
Speckle Statistics for Multilook-Processed SAR Images
Texture Model and K Distribution
Effect of Speckle Spatial Correlation
Polarimetric and Interferometric SAR Speckle Statistics
Phase Difference Distributions of Single-Look and Multilook PolSAR Data
Multilook Product Distribution
Joint Distribution of Multilook Si2 and Sj2
Multilook Intensity and Amplitude Ratio Distributions
Verifications of Multilook PDFs
K Distribution for Multilook Polarimetric Data
Summary
Appendices
PolSAR Speckle Filtering
Introduction to Speckle Filtering of SAR Imagery
Filtering of Single Polarization SAR Data
Review of Multipolarization Speckle Filtering Algorithms
PolSAR Speckle Filtering
Scattering Model-Based PolSAR Speckle Filter

Introduction to the Polarimetric Target Decomposition Concept
Introduction
Dichotomy of the Kennaugh Matrix K
Eigenvector-Based Decompositions
Model-Based Decompositions
Coherent Decompositions
The H/A/a Polarimetric Decomposition Theorem
Introduction
Pure Target Case
Probabilistic Model for Random Media Scattering
Roll Invariance Property
Polarimetric Scattering a Parameter
Polarimetric Scattering Entropy (H)
Polarimetric Scattering Anisotropy (A)
Three-Dimensional H/A/a Classification Space
New Eigenvalue-Based Parameters
Speckle Filtering Effects on H/A/a
PolSAR Terrain and Land-Use Classification
Introduction
Maximum Likelihood Classifier Based on Complex Gaussian Distribution
Complex Wishart Classifier for Multilook PolSAR Data
Characteristics of Wishart Distance Measure
Supervised Classification Using Wishart Distance Measure
Unsupervised Classification Based on Scattering Mechanisms and Wishart Classifier
Scattering Model-Based Unsupervised Classification
Quantitative Comparison of Classification Capability: Fully PolSAR versus Dual- and Single-Polarization SAR
Pol-InSAR Forest Mapping and Classification
Introduction
Pol-InSAR Scattering Descriptors
Forest Mapping and Forest Classification
Appendix
Selected PolSAR Applications
Polarimetric Signature Analysis of Manmade Structures
Polarization Orientation Angle Estimation and Applications
Ocean Surface Remote Sensing with PolSAR
Ionosphere Faraday Rotation Estimation
PolSAR Interferometry for Forest Height Estimation
Nonstationary Natural Media Analysis from PolSAR Data Using a Two-Dimensional Time-Frequency Approach
Appendix A: Eigen Characteristics of Hermitian Matrix
Appendix B: PolSARpro Software: The Polariemtric SAR Data Processing and Educational Toolbox
Index