LEADER 02468nam 2200493 450 001 9910823511003321 005 20230125224626.0 010 $a1-60807-813-2 035 $a(CKB)4330000000000222 035 $a(MiAaPQ)EBC4821260 035 $a(CaBNVSL)mat09100446 035 $a(IEEE)9100446 035 $a(EXLCZ)994330000000000222 100 $a20200730d2015 uy 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aSpectral-spatial classififcation of hyperspectral remote sensing images /$fJo?n Atli Benediktsson, Pedram Ghamisi 210 1$aBoston :$cArtech House,$d2015. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2015] 215 $a1 online resource (277 pages) $cillustrations 225 1 $aArtech House Remote Sensing Library 311 $a1-60807-812-4 320 $aIncludes bibliographical references and index. 330 3 $aThis comprehensive new resource brings you up to date on recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods. The inclusion of spatial information to traditional approaches for hyperspectral classification has been one of the most active and relevant innovative lines of research in remote sensing during recent years.nn This book gives you insight into several important challenges when performing hyperspectral image classification related to the imbalance between high dimensionality and limited availability of training samples, or the presence of mixed pixels in the data. This book also shows you how to integrate spatial and spectral information in order to take advantage of the benefits that both sources of information provide.$cPublisher abstract. 410 0$aArtech House remote sensing library. 606 $aRemote sensing 606 $aMultispectral imaging 606 $aImage processing$xDigital techniques 615 0$aRemote sensing. 615 0$aMultispectral imaging. 615 0$aImage processing$xDigital techniques. 676 $a621.36/78 700 $aJo?n Atli Benediktsson$0941121 702 $aGhamisi$b Pedram 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910823511003321 996 $aSpectral-spatial classififcation of hyperspectral remote sensing images$93986233 997 $aUNINA