DSGAU: Dual-Scale Graph Attention U-Nets for Hyperspectral Image Classification With Limited Samples
Abstract: Graph convolutional networks (GCNs) exhibit remarkable capabilities in hyperspectral image (HSI) classification tasks, primarily due to their ability to establish long-range pixel ...
Abstract: Feature selection plays an important role in data analysis, yet traditional graph-based methods often produce suboptimal results. These methods typically follow a two-stage process: ...
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