Graph-in-Graph Convolutional Network for Hyperspectral Image Classification.
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DOI: 10.1109/tnnls.2022.3182715
Abstract: With the development of hyperspectral sensors, accessible hyperspectral images (HSIs) are increasing, and pixel-oriented classification has attracted much attention. Recently, graph convolutional networks (GCNs) have been proposed to process graph-structured data in non-Euclidean domains and… read more here.
Keywords: graph convolutional; graph graph; classification; hsi classification ... See more keywords