03990nam a22006255i 4500 978-981-97-8009-9 DE-He213 20251030114548.0 cr nn 008mamaa 241127s2024 si | s |||| 0|eng d 9789819780099 978-981-97-8009-9 10.1007/978-981-97-8009-9 doi TA1637-1638 TJF bicssc UYT bicssc COM012050 bisacsh TJF thema UYT thema Ding, Yao. author. (orcid)0000-0003-2040-2640 https://orcid.org/0000-0003-2040-2640 aut http://id.loc.gov/vocabulary/relators/aut 88144 Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images [electronic resource] / by Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XII, 183 p. 73 illus., 67 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Intelligent Perception and Information Processing, 3059-3816 Introduction -- 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. This 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. Image processing. Neural networks (Computer science) . 64231 Machine learning. 55059 Image Processing. Mathematical Models of Cognitive Processes and Neural Networks. 65860 Machine Learning. 55059 Zhang, Zhili. author. (orcid)0000-0003-4894-5495 https://orcid.org/0000-0003-4894-5495 aut http://id.loc.gov/vocabulary/relators/aut 88145 Hu, Haojie. author. (orcid)0000-0002-6645-8853 https://orcid.org/0000-0002-6645-8853 aut http://id.loc.gov/vocabulary/relators/aut 88146 He, Fang. author. aut http://id.loc.gov/vocabulary/relators/aut 88147 Cheng, Shuli. author. (orcid)0000-0003-4759-0282 https://orcid.org/0000-0003-4759-0282 aut http://id.loc.gov/vocabulary/relators/aut 88148 Zhang, Yijun. author. aut http://id.loc.gov/vocabulary/relators/aut 88149 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819780082 Printed edition: 9789819780105 Printed edition: 9789819780112 Intelligent Perception and Information Processing, 3059-3816 88150 https://doi.org/10.1007/978-981-97-8009-9 ZDB-2-ENG ZDB-2-SXE 65260 65260