Abstract: Deep networks require large, well-labeled data for effective training, but acquiring such data can be prohibitively costly or impractical. Domain adaptation (DA) addresses this challenge by ...
Dual Graph Convolutional Network for Hyperspectral Images With Spatial Graph and Spectral Multigraph
Abstract: To accurately represent the graph structure of the pixel nodes in the hyperspectral remote sensing image classification based on graph convolutional networks (GCNs), a spectral multigraph ...
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