TY - BOOK AU - Jin,Ya-Qiu ED - SpringerLink (Online service) TI - Theory and Approach of Information Retrievals from Electromagnetic Scattering and Remote Sensing SN - 9781402040306 U1 - 621.3 23 PY - 2006/// CY - Dordrecht PB - Springer Netherlands KW - ENGINEERING KW - REMOTE SENSING KW - PARTICLES (NUCLEAR PHYSICS) KW - ELECTROMAGNETISM KW - ELECTRODYNAMICS KW - ELECTRONIC AND COMPUTER ENGINEERING KW - ELECTROMAGNETISM, OPTICS AND LASERS KW - SYSTEMS AND INFORMATION THEORY IN ENGINEERING KW - SOLID STATE PHYSICS AND SPECTROSCOPY KW - CLASSICAL ELECTRODYNAMICS, WAVE PHENOMENA KW - REMOTE SENSING/PHOTOGRAMMETRY N1 - Vector Radiative Transfer (VRT) Theory of Inhomogeneous Random Media -- Fully Polarimetric Scattering of Non-Spherical Scatter Media -- SAR Imagery and Applications -- Remote Sensing Data Validation and Applications -- Numerical Forward-Backward Method (FBM) for Scattering from Randomly Rough Surface and Target -- Numerical Finite Element Method (FEM) for Scattering from Randomly Rough Surface and Target -- Inverse Scattering and Parameter Retrievals -- Electromagnetics of Complex Particulate Media N2 - Theory and Approach of Information Retrievals from Electromagnetic Scattering and Remote Sensing presents some new progress on the theoretical and numerical approaches for information retrieval of the remote sensing via electromagnetic scattering and emission. It covers the vector radiative transfer theory for inhomogeneous scatter media, polarimetric scattering theory for the synthetic aperture radar (SAR) imagery and some innovative applications, new approach and data validation for current space-borne remote sensing programs, fast computational method and numerical simulation for bistatic scattering of randomly rough surface with a target presence, especially at low grazing angle. Some inverse problems in radiative transfer and inverse scattering are also discussed. Novel electromagnetics of complex media are also presented. Theory and Approach of Information Retrievals from Electromagnetic Scattering and Remote Sensing is intended as a textbook for graduate students and a reference book for scientists to see the most recent progress in the author's research laboratory UR - http://dx.doi.org/10.1007/1-4020-4030-X ER -