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
Zhang, Yijun; Hu, Haojie; Cheng, Shuli; He, Fang; Ding, Yao; Zhang, Zhili
Springer Verlag, Singapore
12/2024
183
Dura
9789819780082
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Introduction.- Graph sample and aggregate-attention network for hyperspectral image classification.- Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification.- Pixel and hyperpixel level feature combining for hyperspectral image classification.- Global dynamic graph optimization for hyperspectral image classification.- Exploring relationship between transformer and graph convolution for hyperspectral image classification.
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Hyperspectral Remote Sensing Image;Graph Neural Network;Spectral-spatial feature;Semi-supervised Methods;unsupervised methods;Hyperspectral Image Classification Method;Feature Presentation;Spectral-spatial extraction
Introduction.- Graph sample and aggregate-attention network for hyperspectral image classification.- Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification.- Pixel and hyperpixel level feature combining for hyperspectral image classification.- Global dynamic graph optimization for hyperspectral image classification.- Exploring relationship between transformer and graph convolution for hyperspectral image classification.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
