Demonstrating the breadth and depth of growth in the field since the publication of the popular first edition, Image Analysis, Classification and Change Detection in Remote Sensing, with Algorithms for ENVI/IDL, Second Edition has been updated and expanded to keep pace with the latest versions of the ENVI software environment. Effectively interweaving theory, algorithms, and computer codes, the text supplies an accessible introduction to the techniques used in the processing of remotely sensed imagery.
This significantly expanded edition presents numerous image analysis examples and algorithms, all illustrated in the array-oriented language IDL―allowing readers to plug the illustrations and applications covered in the text directly into the ENVI system―in a completely transparent fashion. Revised chapters on image arrays, linear algebra, and statistics convey the required foundation, while updated chapters detail kernel methods for principal component analysis, kernel-based clustering, and classification with support vector machines.
Additions to this edition include:
With its numerous programming examples in IDL and many applications supporting ENVI, such as data fusion, statistical change detection, clustering and supervised classification with neural networks―all available as downloadable source code―this self-contained text is ideal for classroom use or self study.
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Juelich Research Center, Germany
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