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Image analysis, classification, and change detection in remote sensing : with algorithms for envi/idl and python
- Date_TXT
- Boca Raton : CRC Press/Taylor & Francis, cop. 2014
- Cote
- 778.35 CAN
- Auteur
- Canty, Morton John
- Type de document
- Livre
Description :
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."
"... includes 1) open source (Python) code, making the book more useful to readers without commercial software licenses, and 2) material on polarimetric SAP imagery, an increasingly important field of remote sensing, while continuing to focus on statistically motivated, data-driven analysis methods. With this third edition Mort Canty's book has become even more indispensable."
"... the addition of open source Python code along with IDL will certainly guarantee a larger readership. For students/practitioners in the field of remote sensing who like to program and who prefer in-depth explanations, highly recommended."
• Inclusion of extensive code in Python, with a cloud computing example
• New material on synthetic aperture radar (SAR) data analysis
• New illustrations in all chapters
• Extended theoretical' development
The book covers both multispectral and polarimetric radar image analysis techniques in a way that makes both the differences and parallels clear and emphasizes the importance of choosing appropriate statistical methods. Each chapter concludes with exercises, some of which are small programming projects, intended to illustrate or justify the foregoing development, making this self-contained text ideal for self-study or classroom use.