Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images - Couverture souple
Synopsis
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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Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images
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Etat : Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service. N° de réf. du vendeur POD-409703
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Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
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