Image analysis, classifaction and change detection in remote sensing : with algorithms for ENVI/IDL and Python /

""Dr. Canty continues to update his excellent remote sensing book to use modern computing techniques; this time adding scripts in the open source Python complementing his previous IDL/ENVI examples. This is a great reference for those looking to put remote sensing theory into practice.&quo...

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Bibliographic Details
Main Author: Canty, Morton John (Author)
Format: Electronic eBook
Language:English
Published: Boca Raton, FL : CRC Press, [2014]
Edition:Third edition.
Subjects:
Online Access:CONNECT

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246 3 0 |a With algorithms for ENVI/IDL and Python 
246 3 |a With algorithms for ENvironment for Visualizing Images Interactive Data Language and Python 
250 |a Third edition. 
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300 |a 1 online resource (xxv, 494 pages) :  |b illustrations 
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504 |a Includes bibliographical references (pages 483-494). 
588 0 |a Online resource; title from title page (Safari, viewed January 8, 2015). 
505 0 |a Front Cover; Contents; Preface to the First Edition; Preface to the Second Edition; Preface to the Third Edition; List of Figures; Program Listings; 1. Images, Arrays, and Matrices; 2. Image Statistics; 3. Transformations; 4. Filters, Kernels and Fields; 5. Image Enhancement and Correction; 6. Supervised Classification Part 1; 7. Supervised Classification Part 2; 8. Unsupervised Classification; 9. Change Detection; A. Mathematical Tools; B. Efficient Neural Network Training Algorithms; C. ENVI Extensions in IDL; D. Python Scripts; Mathematical Notation; References; Color Insert. 
520 |a ""Dr. Canty continues to update his excellent remote sensing book to use modern computing techniques; this time adding scripts in the open source Python complementing his previous IDL/ENVI examples. This is a great reference for those looking to put remote sensing theory into practice.""--Michael Galloy, Tech-X Corporation"" ... includes 1) open source (Python) code, making the book more useful to readers without commercial software licenses, and 2) material on polarimetric SAR imagery, an increasingly important field of remote sensing, while continuing to focus on statistically motivated, data dr. 
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650 0 |a Image analysis  |x Mathematics. 
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