| Description |
1 online resource (xxv, 494 pages) : illustrations |
| Contents |
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 |
| Summary |
""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 |
| Bibliography |
Includes bibliographical references (pages 483-494) |
| Notes |
Online resource; title from title page (Safari, viewed January 8, 2015) |
| Subject |
Remote sensing -- Mathematics.
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Image analysis -- Mathematics
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Python (Computer program language)
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IDL (Computer program language)
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IDL (Computer program language)
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Python (Computer program language)
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Remote sensing -- Mathematics
|
| Form |
Electronic book
|
| ISBN |
9781466570382 |
|
1466570385 |
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9781482240481 |
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1482240483 |
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9781466570399 |
|
1466570393 |
|
1466570377 |
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9781466570375 |
|
