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Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images - Brossura
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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
Editore:
Springer Verlag Gmbh Nov 2025, 2025
ISBN 10: 981978011X
ISBN 13: 9789819780112
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware Englisch. Codice articolo 9789819780112
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Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Codice articolo 3836703745
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Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9789819780112
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Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images
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Taschenbuch. Condizione: 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. Codice articolo 136136610
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Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images
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Taschenbuch. Condizione: 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. Codice articolo 9789819780112
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