International Journal of Remote Sensing
International Journal of Approximate Reasoning
Boosting a fast neural network for supervised land cover classification
Computers & Geosciences
Semi-supervised learning with multilayer perceptron for detecting changes of remote sensing images
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Change detection in remotely sensed images using semi-supervised clustering algorithms
International Journal of Knowledge Engineering and Soft Data Paradigms
Information Sciences: an International Journal
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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 remote sensing imagery. This significantly expanded edition presents numerous image analysis examples and algorithms, all illustrated in the array-oriented language IDLallowing readers to plug the illustrations and applications covered in the text directly into the ENVI systemin 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. New additions to the second edition include: An introduction to mutual information and entropy Algorithms and code for image segmentation In-depth treatment of ensemble classification (adaptive boosting ) Improved IDL code for all ENVI extensions, with routines that can take advantage of the parallel computational power of modern graphics processors Code that runs on all versions of the ENVI/IDL software environment from ENVI 4.1 up to the present Many new end-of-chapter exercises and programming projects 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 networksall available as downloadable source codethis self-contained text is the ideal resource for classroom use or self study.