Remote Sensing Digital Image Analysis
by
John A. Richards
Now in an updated edition that adds new and revised material, this book offers a comprehensive introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Each chapter includes practice problems.
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Complete description
Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless many of the fundamentals have substantially remained the same. This new edition presents material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image processing in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background.
Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter.
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General info
Publisher & Imprint:
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition details
5th ed. 2013
City:
Berlin
Edition:
REV
Pages:
513
More info:
height 235 mm
width 155 mm
weight 931 gr
thickness 33 mm
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Age recommended:
Professional and scholarly
Subject Indexing & Classification
Dewey:(DC23) 621.3678
Record updated at:
20 May, 2013
time:
13:02
Summary
Remote Sensing Digital Image Analysis
Sources and characteristics of remote sensing image data.- correcting and registering images.- interpreting images.- radiometric enhancement of images.- geometric processing and enhancement: image domain techniques.- spectral domain image transforms.- spatial domain image transforms.- supervised classification techniques.- clustering and unsupervised classification.- Feature Reduction.- Image Classification in Practice.- Multisource Image Analysis.
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