Description: Kernel Methods for Remote Sensing Data Analysis, Hardcover by Camps-valls, Gustavo (EDT); Bruzzone, Lorenzo (EDT), ISBN 0470722118, ISBN-13 9780470722114, Brand New, Free shipping in the US This work presents research related to remote sensing techniques based on recent advances in kernel methods. Two early chapters provide background on machine learning techniques in remote sensing data analysis, and theoretical and practical foundations of kernel methods. The rest of book addresses recent research in developing kernel methods in remote sensing for supervised classification, semi-supervised classification, regression, and feature extraction. Some specific topics covered include the support vector machine (SVM) algorithm, a domain adaptation SVM for land-cover map updating, kernel methods for unmixing hyperspectral imagery, kernel-based quantitative remote sensing inversion, and kernel multivariate analysis in remote sensing feature extraction. Th is for engineers, scientists, and researchers involved in remote sensing data processing. Camps-Valls teaches in the Department of Electronics Engineering at the University of Valencia, Spain. Bruzzone is professor of telecommunications at the University of Trento, Italy. Annotation ©2010 Book News, Inc., Portland, OR ()
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Book Title: Kernel Methods for Remote Sensing Data Analysis
Author: Camps-valls, Gustavo (EDT); Bruzzone, Lorenzo (EDT)
Language: english
