Computational Methods for Electromagnetic Inverse Scattering

Computational Methods for Electromagnetic Inverse Scattering Xudong Chen, National University of Singapore, Singapore This book offers a comprehensive and updated overview of the theory, algorithms and applications of electromagnetic inverse scattering problems. Fundamental theories including mathematical derivation and physical insights of both forward and inverse electromagnetic scattering will be emphasized, and 2-dimentional and 3-dimensional problems covered. Readers will be introduced to reconstruction algorithms for both small-size and large-size scatterers, as well as qualitative and quantitative reconstruction algorithms. Inverse scattering taking into account different boundary conditions are also discussed before imaging resolution and applications are tackled from a new perspective. Offers important advances in electromagnetic inverse scattering grounded in fundamental theory, algorithms and practical engineering applications Covers the latest, most relevant inverse scattering techniques like signal subspace methods, time reversal, linear sampling, qualitative methods, compressive sensing, and noniterative methods Emphasizes theory, mathematical derivation and physical insights of various inverse scattering problems Written by a leading expert in the field, Numerical Methods for Electromagnetic Inverse Scattering is an essential reference for researchers in electrical engineering, physics and applied mathematics. Graduate students and practicing engineers specializing in areas like remote sensing, military surveillance, biomedical diagnosis, nondestructive testing/evaluation, and oil exploration would also find it an insightful guide.