Graph Neural Network for Hyperspectral Image Clustering (Intelligent Perception and Information Processing)

By: Jie Feng and Yao Ding and Zhili Zhang and Haojie Hu and Renxiang Guan and Zhiyong Lv

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Synopsis: This book investigates detailed hyperspectral image clustering using graph neural network (graph learning) methods, focusing on the overall construction of the model, design of self-supervised methods, image pre-processing, and feature extraction of graph information. Multiple graph neural network-based clustering methods for hyperspectral images are proposed, effectively improving the clustering accuracy of hyperspectral images and taking an important step towards the practical application of hyperspectral images. This book is innovative in content and emphasizes the integration of theory with practice, which can be used as a reference book for graduate students, senior undergraduate students, researchers, and engineering technicians in related majors such as electronic information engineering, computer application technology, automation, instrument science and technology, remote sensing.

Book Quality:: Publisher Quality
ISBN-13:: 9789819677108
Related ISBNs:: 9789819677092
Publisher:: Springer Nature Singapore
Date of Addition:: 08/09/25
Copyrighted By:: Science Press
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Mathematics and Statistics, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.