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Semisupervised Classification of Hyperspectral Image Based on Graph Convolutional Broad Network

Hyperspectral image (HSI) classification has attracted much attention in the field of remote sensing. However, the lack of sufficient labeled training samples is a huge challenge for HSI classification. To face this challenge, we propose a semisupervised HSI classification method based on graph conv...

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Detalles Bibliográficos
Principais autores: Haoyu Wang, Yuhu Cheng, C. L. Philip Chen, Xuesong Wang
Formato: Artigo
Idioma:Inglês
Publicado: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Acceso en liña:https://ieeexplore.ieee.org/document/9366920/
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