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Separable Deep Graph Convolutional Network Integrated With CNN and Prototype Learning for Hyperspectral Image Classification

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0 Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3390575

Abstract: Graph convolutional networks (GCNs) have garnered extensive attention in the realm of hyperspectral image (HSI) classification. However, due to the problem of oversmoothing caused by deep GCN, most of the existing GCN-based methods are limited… read more here.

Keywords: classification; prototype learning; graph convolutional; separable deep ... See more keywords