Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images

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 clas...

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Main Authors:	Ding, Yao (Author), Zhang, Zhili (Author), Hu, Haojie (Author), He, Fang (Author), Cheng, Shuli (Author), Zhang, Yijun (Author)
Korporativna značnica:	SpringerLink (Online service)
Format:	Elektronski eKnjiga
Jezik:	angleščina
Izdano:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Izdaja:	1st ed. 2024.
Serija:	Intelligent Perception and Information Processing,
Teme:	Image processing. Neural networks (Computer science) . Machine learning. Image Processing. Mathematical Models of Cognitive Processes and Neural Networks. Machine Learning.
Online dostop:	https://doi.org/10.1007/978-981-97-8009-9
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