Joint Spatial–Spectral Attention Network for Hyperspectral Image Classification

IEEE Geoscience and Remote Sensing Letters(2021)

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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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