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Mathematical principles of remote sensing : making inferences from noisy data

Author: Andrew S Milman
Publisher: Chelsea, MI : Sleeping Bear Press, ©1999.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Milman, Andrew S.
Mathematical principles of remote sensing.
Chelsea, MI : Sleeping Bear Press, ©1999
(DLC) 99014147
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Andrew S Milman
ISBN: 0203305787 9780203305782
OCLC Number: 252760277
Description: 1 online resource (xiii, 406 pages) : illustrations
Contents: Mathematical Principles of Remote Sensing is an informative reference and 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 extensively, including measurements and noise, physics of electromagnetic radiation, and radiation transfer. Specific mathematical methods include covariance and probability analysis, regression, linear algebra, Fourier transforms, convolution, and others. This book is an essential reference for remote sensing scientists and engineers concerned with applications in radiation transfer, image processing, atmospheric and noise correction, and modeling.
Responsibility: Andrew S. Milman.

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