Mathematical Principles of Remote Sensing : Making Inferences from Noisy Data
From Book News, Inc. Introduces the philosophy, mathematical methods and ways of thinking behind inferring the physical properties of planets and stars by measuring the radiation they emit. The author, who has done work for NASA, offers a systematic treatment of the mathematics involved in making inferences from imperfect data to provide a basis for remote sensing as a discipline. The heart of the book discusses matrix methods that are used in inverting systems of linear equations, integral equations which provide an alternative viewpoint to the matrix approach, and iterative methods for inverting systems of linear or nonlinear equations.Book News, Inc.®, Portland, OR
Synopsis This is an informative reference, or working textbook, on the mathematics, and general physical and chemical processes behind remote sensor measurements. The issues and mathematical principles important to remote sensing and data analysis are covered.
Fernerkundung > Mathematical Principles of Remote Sensing : Making Inferences from Noisy Data|