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Written by well-regarded experts in the field, Kernel Methods for Remote Sensing Data Analysis presents the theoretical foundations of kernel methods relevant to the remote sensing domain. This practical guide to the design and implementation of these methods enables engineers, scientists, and researchers to develop a robust and principled approach to their particular application. The text includes state-of-the art-knowledge analyzing the methodological and practical challenges related to the application of KMs to remote sensing problems.