Front Cover; Dedication; Contents; Preface; Authors; List of Symbols; Part I FUNDAMENTALS; Chapter One Introduction to Inverse Scattering; Chapter Two Electromagnetic Waves; Chapter Three Scattering Fundamentals; Chapter Four Inverse Scattering Fundamentals; Part II INVERSION METHODS; Chapter Five Data Processing; Chapter Six Born Approximation Observat; Chapter Seven Alternate Inverse Methods; Chapter Eight Homomorphic (Cepstral) Filtering; Part III APPLICATIONS; Chapter Nine Applications to Real Measured Data; Chapter Ten Advanced Cepstral Filtering
Chapter Eleven Advanced Topics in Inverse ImagingPart IV APPENDICES; Appendix A: Review of FourierAnalysis; Appendix B: The Phase Retrieval Problem; Appendix C: Prior Discrete Fourier Transform; Appendix D: The Poynting Vector; Appendix E: Resolution and Degrees of Freedom; Appendix F*: MATLAB® Exercises with COMSOL® Data; Back Cover
Summary
Obtain the Best Estimate of a Strongly Scattering Object from Limited Scattered Field DataIntroduction to Imaging from Scattered Fields presents an overview of the challenging problem of determining information about an object from measurements of the field scattered from that object. It covers widely used approaches to recover information about the objects and examines the assumptions made a priori about the object and the consequences of recovering object information from limited numbers of noisy measurements of the scattered fields. The book explores the strengths and weaknesses of using inv
