LEADER 03313nam 22006495 450 001 9910910493103321 005 20241127115246.0 010 $a9789819780099 010 $a9819780098 024 7 $a10.1007/978-981-97-8009-9 035 $a(CKB)36679868200041 035 $a(MiAaPQ)EBC31806104 035 $a(Au-PeEL)EBL31806104 035 $a(DE-He213)978-981-97-8009-9 035 $a(EXLCZ)9936679868200041 100 $a20241127d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGraph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images /$fby Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (189 pages) 225 1 $aIntelligent Perception and Information Processing,$x3059-3816 311 08$a9789819780082 311 08$a981978008X 327 $aIntroduction -- Graph sample and aggregate-attention network for hyperspectral image classification -- Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification -- Pixel and hyperpixel level feature combining for hyperspectral image classification -- Global dynamic graph optimization for hyperspectral image classification -- Exploring relationship between transformer and graph convolution for hyperspectral image classification. 330 $aThis book deals with hyperspectral image classification using graph neural network methods, focusing on classification model designing, graph information dissemination, and graph construction. In the book, various graph neural network based classifiers have been proposed for hyperspectral image classification to improve the classification accuracy. This book has promoted the application of graph neural network in hyperspectral image classification, providing reference for remote sensing image processing. It will be a useful reference for researchers in remote sensing image processing and image neural network design. 410 0$aIntelligent Perception and Information Processing,$x3059-3816 606 $aImage processing 606 $aNeural networks (Computer science) 606 $aMachine learning 606 $aImage Processing 606 $aMathematical Models of Cognitive Processes and Neural Networks 606 $aMachine Learning 615 0$aImage processing. 615 0$aNeural networks (Computer science). 615 0$aMachine learning. 615 14$aImage Processing. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aMachine Learning. 676 $a621.382 700 $aDing$b Yao$01668378 701 $aZhang$b Zhili$01776890 701 $aHu$b Haojie$01776891 701 $aHe$b Fang$01705440 701 $aCheng$b Shuli$01776892 701 $aZhang$b Yijun$01776893 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910910493103321 996 $aGraph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images$94296128 997 $aUNINA