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Kernel Methods for Remote Sensing Data Analysis
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| #4416033 in Books | 2009-12-02 | Original language:English | PDF # 1 | 9.85 x1.05 x6.85l,2.05 | File type: PDF | 434 pages|||"The editors and the contributors have thought through how best to introduce the various topics and discussions relevant for remote sensing of data analysis and they do it convincingly and compellingly. Their book will deservedly become a proud possession for
Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful across many different domains related to the analysis of images of the Earth acquired from airborne and satellite sensors, including natural resource control, detection a...
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