02502nam 2200505 450 991046758240332120200730111955.01-60807-813-2(CKB)4330000000000222(MiAaPQ)EBC4821260(CaBNVSL)mat09100446(IEEE)9100446(EXLCZ)99433000000000022220200730d2015 uy engurcnu||||||||rdacontentrdamediardacarrierSpectral-spatial classififcation of hyperspectral remote sensing images /Jón Atli Benediktsson, Pedram GhamisiBoston :Artech House,2015.[Piscataqay, New Jersey] :IEEE Xplore,[2015]1 online resource (277 pages) illustrationsArtech House Remote Sensing Library1-60807-812-4 Includes bibliographical references and index.This comprehensive new resource brings you up to date on recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods. The inclusion of spatial information to traditional approaches for hyperspectral classification has been one of the most active and relevant innovative lines of research in remote sensing during recent years.nn This book gives you insight into several important challenges when performing hyperspectral image classification related to the imbalance between high dimensionality and limited availability of training samples, or the presence of mixed pixels in the data. This book also shows you how to integrate spatial and spectral information in order to take advantage of the benefits that both sources of information provide.Publisher abstract.Artech House remote sensing library.Remote sensingMultispectral imagingImage processingDigital techniquesElectronic books.Remote sensing.Multispectral imaging.Image processingDigital techniques.621.36/78Jón Atli Benediktsson941121Ghamisi PedramCaBNVSLCaBNVSLCaBNVSLBOOK9910467582403321Spectral-spatial classififcation of hyperspectral remote sensing images2260803UNINA