Polarimetric Scattering and SAR Information Retrieval (eBook)

Ya-Qiu Jin, Fudan University, China Professor Jin is Chair Professor and Director of the Key Lab of Wave Scattering and Remote Sensing Information, at Fudan University, Shanghai, China. He is an IEEE Fellow, a Fellow of the Electromagnetics Academy (USA) and CIE as well as being Chair of the IEEE Fellow Evaluation Committee (GRSS), a Member of IEEE GRSS AdCom, and Associate Editor of IEEE Transactions on Geoscience and Remote Sensing. Feng Xu, Intelligent Automation, Inc, USA Dr. Xu holds the post of Research Scientist at Intelligent Automation, Inc, Rockville, USA. He took his PhD at Fudan University in Shanghai, China and was a postdoctoral researcher at NOAA/NESDIS, USA, from 2008-2009.

Preface xi

1 Basics of Polarimetric Scattering 1

1.1 Polarized Electromagnetic Wave 1

1.2 Volumetric Scattering 9

1.3 Surface Scattering 13

2 Vector Radiative Transfer 29

2.1 Radiative Transfer Equation 29

2.2 Components in Radiative Transfer Equation 35

2.3 Mueller Matrix Solution 40

2.4 Polarization Indices and Entropy 52

2.5 Statistics of Stokes Parameters 59

3 Imaging Simulation of Polarimetric SAR: Mapping and Projection Algorithm 79

3.1 Fundamentals of SAR Imaging 79

3.2 Mapping and Projection Algorithm 90

3.3 Platform for SAR Simulation 108

4 Bistatic SAR: Simulation, Processing, and Interpretation 123

4.1 Bistatic Mapping and Projection Algorithm (BI-MPA) 124

4.2 Scattering Models and Signal Model 130

4.3 Simulated BISAR Images 136

4.4 Polarimetric Characteristics of BISAR Image 141

4.5 Unified Bistatic Polarization Bases 146

4.6 Raw Signal Processing of Stripmap BISAR 150

5 Radar Polarimetry and Deorientation Theory 167

5.1 Radar Polarimetry and Target Decomposition 167

5.2 Deorientation Theory 184

5.3 Terrain Surface Classification 198

6 Inversions from Polarimetric SAR Images 215

6.1 Inversion of Digital Elevation Mapping 216

6.2 An Example of Algorithm Implementation 221

6.3 Inversion of Bridge Height 225

7 Automatic Reconstruction of Building Objects from Multi-Aspect SAR Images 235

7.1 Detection and Extraction of Object Image 237

7.2 Building Reconstruction from a Multi-Aspect Image 247

7.3 Automatic Multi-Aspect Reconstruction (AMAR) 257

7.4 Results and Discussion 260

7.5 Calibration and Validation of Multi-Aspect SAR Data 265

8 Faraday Rotation on Polarimetric SAR Image at UHF/VHF Bands 275

8.1 Faraday Rotation Effect on Terrain Surface Classification 276

8.2 Recovering the Mueller Matrix with Ambiguity Error p/2 283

8.3 Method to Eliminate the p/2 Ambiguity Error 287

9 Change Detection from Multi-Temporal SAR Images 291

9.1 The 2EM-MRF Algorithm 292

9.2 The 2EM-MRF for Change Detection in an Urban Area 298

9.3 Change Detection after the 2008 Wenchuan Earthquake 301

10 Temporal Mueller Matrix for Polarimetric Scattering 311

10.1 Radiative Transfer in Inhomogeneous Random Scattering Media 312

10.2 Time-Dependent Mueller Matrix for Inhomogeneous Random Media 317

10.3 Polarimetric Bistatic and Backscattering Pulse Responses 321

10.4 Pulse Echoes from Lunar Regolith Layer 328

10.5 Monitoring Debris and Landslides 339

11 Fast Computation of Composite Scattering from an Electrically Large Target over a Randomly Rough Surface 351

11.1 Bidirectional Analytic Ray Tracing 352

11.2 Numerical Results 361

12 Reconstruction of a 3D Complex Target using Downward-Looking Step-Frequency Radar 375

12.1 Principle of 3D Reconstruction 376

12.2 Scattering Simulation and 3D Reconstruction 382

References 392

Index 395