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

Theory and Approach of Information Retrievals from Electromagnetic Scattering and Remote Sensing (Hardcover)

Ya-Qiu Jin (지은이)
Springer Verlag
307,470원

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

· 제목 : Theory and Approach of Information Retrievals from Electromagnetic Scattering and Remote Sensing (Hardcover) 
· 분류 : 외국도서 > 기술공학 > 기술공학 > 전기공학
· ISBN : 9781402040290
· 쪽수 : 386쪽
· 출판일 : 2005-12-08

목차

Chapter 1 Vector Radiative Transfer (VRT) Theory of Inhomogeneous Random Media 1-1 Iterative Solution of Multiple Scattering and Emission from Inhomogeneous Dense Scatter Media 1-2 Iterative Solution of High-Order Scattering Solution for Inhomogeneous Non-Spherical Scatter Media 1-3 An Approach of the Three-Dimensional Vector Radiative Transfer Equation (3D-VRT) 1-4 References Chapter 2 Fully Polarimetric Scattering of Non-Spherical Scatter Media 2-1 Polarimetric Scattering Indexes and Information Entropy of the SAR Imagery for Surface Monitoring 2-2 Temporal Mueller Matrix Solution for Polarimetric Scattering from Inhomogeneous Random Media 2-3 Pulse Echoes from a Inhomogeneous Layered Canopy and Random Targets Beneath the Canopy 2-4 Retrievals of Underlying Surface Roughness and Moisture from Polarimetric Pulse Echoes in the Specular Direction 2-5 Statistics of Four Stokes Parameters in Multi-look Polarimetric SAR Imagery 2-6 Image Simulation of High-Resolution Radar for Fully Polarimetric Scattering from Heterogeneous Canopy Surface 2-7 References Chapter 3 SAR Imagery and Applications 3-1 Terrain Topographic Inversion from Single-Pass Polarimetric SAR Image Data 3-2 Change Detection of Multi-temporal ERS-2 SAR Images by Using Two-Thresholds EM and MRF Algorithms 3-3 Deorientation Theory of Polarimetric Scattering Targets and Application to Terrain Surface Classification 3-4 An Algorithm for Ship Detection from SAR Images 3-5 An Improved Method of the Minimum Entropy for Refocusing Moving Target Image 3-6 References Chapter 4 Remote Sensing Data Validation and Applications 4-1 Terrain Surface Moisture Mapping Based on Multi-Year Passive Microwave Remote Sensing 4-2 Monitoring the Sandstorm Using the SSM/I Dataand Getis Statistics 4-3 A Genetic Algorithm to Simultaneously Retrieve the Land Surface Roughness and Soil Wetness 4-4 Correlation of the SAR and SSM/I Observations over Snowpack and Numerical Simulation 4-5 Correlated Observations by the ERS-1 and SSM/I over Ocean and Numerical Simulation 4-6 Data Fusion of RADARSAT SAR and DMSP SSM/I for Monitoring Sea Ice of China's Bohai Sea 4-7 Spatial Auto-Correlation Using Optimal Multi-Scale Getis Statistic 4-8 A Hybrid BP-ANN/GA Algorithm for Data Fusion of Landsat ETM+ and ERS-2 SAR in Classification of Urban Terrain Surfaces 4-9 References Chapter 5 Numerical Forward-Backward Method (FBM) for Scattering from Randomly Rough Surface and Target 5-1 Bistatic Scattering from a Composite Model of Rough Surface and a Target at Low Grazing Angle Incidence Using the GFBM/SAA Method 5-2 Numerical Simulation of Radar Surveillance for the Ship Target and Oceanic Clutters in Two-Dimensional Model 5-3 Parameterization of the Tapered Incident Wave for Numerical Simulation of EM Scattering from Rough Surface 5-4 Bistatic Scattering from a Fractal Rough Dielectric Surface Using the FBM/SAA 5-5 Bistatic Scattering of a Fractal Rough Surface with High Permittivity Using the PBTG-FBM/SAA 5-6 References Chapter 6 Numerical Finite Element Method (FEM) for Scattering from Randomly Rough Surface and Target 6-1 Angular Correlation Function of Scattering from an Object over Rough Surface in a FEM Approach 6-2 Numerical Simulation of Bistatic Scattering from a Target above Rough Sea Surface under an EM Wave Incidence at Low Grazing Angle by Using the FEM 6-3 Bistatic Scattering from the Comprehensive Model of a Ship on and a Target above Large-Scale Rough Sea Surface Using the FEM-DDM 6-4 Simulation of the Doppler Spectrum of a

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