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Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images (Intelligent Perception and Information Processing) - Softcover
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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Springer Verlag Gmbh Nov 2025, 2025
ISBN 10: 981978011X
ISBN 13: 9789819780112
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware Englisch. Seller Inventory # 9789819780112
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Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images
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Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9789819780112
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Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images | Yao Ding (u. a.) | Taschenbuch | Intelligent Perception and Information Processing | xii | Englisch | 2025 | Springer | EAN 9789819780112 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 136136610
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Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images
Print on DemandSeller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch. Seller Inventory # 9789819780112