Abstract: Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph ...
Abstract: Although enormous domain adaptation (DA) approaches have been proposed for cross-scene hyperspectral image (HSI) classification, the majority of DA methods strongly depend on much prior ...
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