DSFormer is a novel Dual Selective Fusion Transformer Network for HSI classification. It adaptively selects and fuses features from diverse receptive fields to achieve joint spatial-spectral context ...
Abstract: Feature selection is a common pre-processing step for high-dimensional datasets. Filter-Based methods rank feature relevance independently of specific classifiers. This work proposes a graph ...
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