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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Canty, Morton John (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, [2014]
Edición:Third edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Image analysis, classifaction and change detection in remote sensing :  |b with algorithms for ENVI/IDL and Python /  |c Morton J. Canty. 
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. 
264 1 |a Boca Raton, FL :  |b CRC Press,  |c [2014] 
264 4 |c ©2014 
300 |a 1 online resource (xxv, 494 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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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 Remote sensing  |x Mathematics. 
650 0 |a Image analysis  |x Mathematics. 
650 0 |a Python (Computer program language) 
650 0 |a IDL (Computer program language) 
650 6 |a Analyse d'images  |x Mathématiques. 
650 6 |a Python (Langage de programmation) 
650 6 |a IDL (Langage de programmation) 
650 7 |a IDL (Computer program language)  |2 fast 
650 7 |a Python (Computer program language)  |2 fast 
650 7 |a Remote sensing  |x Mathematics  |2 fast 
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