Mathematical Principles of Remote Sensing: Making Inferences from Noisy Data
Author:   Andrew S Milman
Publisher:   Taylor & Francis Ltd
ISBN:  

9781575041353


Pages:   420
Publication Date:   01 March 2000
Format:   Hardback
Availability:   In Print   Availability explained
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Mathematical Principles of Remote Sensing: Making Inferences from Noisy Data


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Author:   Andrew S Milman
Publisher:   Taylor & Francis Ltd
Imprint:   Taylor & Francis Ltd
Dimensions:   Width: 17.80cm , Height: 2.90cm , Length: 25.40cm
Weight:   1.120kg
ISBN:  

9781575041353


ISBN 10:   1575041359
Pages:   420
Publication Date:   01 March 2000
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of 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.

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Andrew S Milman

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