Theory and Approach of Information Retrievals from Electromagnetic Scattering and Remote Sensing

Chapter 1 Vector Radiative Transfer (VRT) Theory of Inhomogeneous Random Media1-1 Iterative Solution of Multiple Scattering and Emission from Inhomogeneous Dense Scatter Media1-2 Iterative Solution of High-Order Scattering Solution for Inhomogeneous Non-Spherical Scatter Media1-3 An Approach of the Three-Dimensional Vector Radiative Transfer Equation (3D-VRT)1-4 References Chapter 2 Fully Polarimetric Scattering of Non-Spherical Scatter Media2-1 Polarimetric Scattering Indexes and Information Entropy of the SAR Imagery for Surface Monitoring2-2 Temporal Mueller Matrix Solution for Polarimetric Scattering from Inhomogeneous Random Media2-3 Pulse Echoes from a Inhomogeneous Layered Canopy and Random Targets Beneath the Canopy2-4 Retrievals of Underlying Surface Roughness and Moisture from Polarimetric Pulse Echoes in the Specular Direction2-5 Statistics of Four Stokes Parameters in Multi-look Polarimetric SAR Imagery2-6 Image Simulation of High-Resolution Radar for Fully Polarimetric Scattering from Heterogeneous Canopy Surface2-7 References Chapter 3 SAR Imagery and Applications3-1 Terrain Topographic Inversion from Single-Pass Polarimetric SAR Image Data3-2 Change Detection of Multi-temporal ERS-2 SAR Images by Using Two-Thresholds EM and MRF Algorithms3-3 Deorientation Theory of Polarimetric Scattering Targets and Application to Terrain Surface Classification3-4 An Algorithm for Ship Detection from SAR Images3-5 An Improved Method of the Minimum Entropy for Refocusing Moving Target Image3-6 References Chapter 4 Remote Sensing Data Validation and Applications4-1 Terrain Surface Moisture Mapping Based on Multi-Year Passive Microwave Remote Sensing4-2 Monitoring the Sandstorm Using the SSM/I Data and Getis Statistics4-3 A Genetic Algorithm to Simultaneously Retrieve the Land Surface Roughness and Soil Wetness4-4 Correlation of the SAR and SSM/I Observations over Snowpack and Numerical Simulation4-5 Correlated Observations by the ERS-1 and SSM/I over Ocean and Numerical Simulation4-6 Data Fusion of RADARSAT SAR and DMSP SSM/I for Monitoring Sea Ice of China''s Bohai Sea4-7 Spatial Auto-Correlation Using Optimal Multi-Scale Getis Statistic4-8 A Hybrid BP-ANN/GA Algorithm for Data Fusion of Landsat ETM+ and ERS-2 SAR in Classification of Urban Terrain Surfaces4-9 References Chapter 5 Numerical Forward-Backward Method (FBM) for Scattering from Randomly Rough Surface and Target5-1 Bistatic Scattering from a Composite Model of Rough Surface and a Target at Low Grazing Angle Incidence Using the GFBM/SAA Method5-2 Numerical Simulation of Radar Surveillance for the Ship Target and Oceanic Clutters in Two-Dimensional Model5-3 Parameterization of the Tapered Incident Wave for Numerical Simulation of EM Scattering from Rough Surface5-4 Bistatic Scattering from a Fractal Rough Dielectric Surface Using the FBM/SAA5-5 Bistatic Scattering of a Fractal Rough Surface with High Permittivity Using the PBTG-FBM/SAA5-6 References Chapter 6 Numerical Finite Element Method (FEM) for Scattering from Randomly Rough Surface and Target6-1 Angular Correlation Function of Scattering from an Object over Rough Surface in a FEM Approach6-2 Numerical Simulation of Bistatic Scattering from a Target above Rough Sea Surface under an EM Wave Incidence at Low Grazing Angle by Using the FEM6-3 Bistatic Scattering from the Comprehensive Model of a Ship on and a Target above Large-Scale Rough Sea Surface Using the FEM-DDM6-4 Simulation of the Doppler Spectrum of a Flying Target above Dynamic Oceanic Surface by Using the FEM-DDM Method6-5 References Chapter 7 Inverse Scattering and Parameter Retrievals7-1 Reconstruction of Roughness Profile of Fractal Surfaces from Scattering Measurement at Grazing Incidence7-2 Iterative Inversion of the Scalar Radiative Transfer Equation for a Layer of Random Spheroids7-3 Iterative Inversion of the Vector Radiative Transfer Equation for a Layer of Random Spheroids7-4 Iterative Inversion of Canopy Biomass and Surface Moisture by Using Mul