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Graph Neural Network For Feature Extraction And Classification Of Hyperspectral Remote Sensing Images Yao Ding

  • SKU: BELL-143840988
Graph Neural Network For Feature Extraction And Classification Of Hyperspectral Remote Sensing Images Yao Ding
$ 31.00 $ 45.00 (-31%)

4.1

100 reviews

Graph Neural Network For Feature Extraction And Classification Of Hyperspectral Remote Sensing Images Yao Ding instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 14.76 MB
Pages: 189
Author: Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang
ISBN: 9789819780099, 9789819780082, 9819780098, 981978008X
Language: English
Year: 2024

Product desciption

Graph Neural Network For Feature Extraction And Classification Of Hyperspectral Remote Sensing Images Yao Ding by Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang 9789819780099, 9789819780082, 9819780098, 981978008X instant download after payment.

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.

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