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This graduate-level monograph develops the background and fundamental theory of inversion processes used in remote sensing. The treatment starts at an elementary level and is largely self-contained; each chapter begins with an elementary discussion outlining problems and questions to be covered and concludes with a bibliography. After an introductory chapter, the text progresses to simple problems involving inversion, the theory of large linear systems, physical and geometric aspects of vectors and matrices, and algebraic and geometric aspects of functions and function space. Subsequent chapters explore linear inversion methods, information content of indirect sensing measurements, and additional topics. A helpful three-part Appendix and suggestions for further reading conclude the text.


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