Joint Spatial–Spectral Attention Network for Hyperspectral Image Classification
IEEE Geoscience and Remote Sensing Letters(2021)
摘要
Hyperspectral images (HSIs) contain rich context information in the spatial domain and spectral domain. To fully explore that information, a data-driven joint spatial–spectral attention network (JSSAN) is proposed in this letter. Specifically, we first design a spatial–spectral attention ( $\text{S}^{2}\text{A}$ ) block to simu...
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关键词
Feature extraction,Convolution,Neural networks,Transforms,Mathematical model,Hyperspectral imaging
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