We proposed a spatial attention network (SATNet) by combining 3D OctConv and ViT. Firstly, 3D OctConv divided the feature maps into high-frequency maps and low ...
To solve the above problems, we proposed a spatial attention network (SATNet) by combining 3D OctConv and ViT. Firstly, 3D OctConv divided the feature maps into ...
A Spatial Attention Based Network for Hyperspectral Image Classification
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SATNet: A Spatial Attention Based Network for Hyperspectral Image Classification · 1-The English writing of the paper is required to be improved. · 2-In the ...
This paper is a new model of spatial attention network based on 3D OctConv and ViT, and the flow chart of this model is shown in Figure 2.
Spectral-Spatial Attention Networks for Hyperspectral Image Classification. Please cite our paper if you find it useful for your research.
Missing: SATNet: | Show results with:SATNet:
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洪青青,HQQ,扬州大学教师个人主页服务平台, SATNet: A Spatial Attention Based Network for Hyperspectral Image Classification洪青青,
Jun 20, 2024 · HSI images consist of dozens or hundreds of spectral channels containing abundant spectral and spatial information. The high spatial resolution ...
Numerous experiments conducted have demonstrated that spectral-spatial attention enhances the network's categorization ability. The three attention modules that ...
Aug 26, 2024 · To enhance the difference of hyperspectral data between categories, Liu et al. [32] designed a classification method based on group spectral.
This paper proposes a triple-attention residual networks (TARN) for hyperspectral image (HSI) classification that can not only emphasize the importance of ...
Missing: SATNet: | Show results with:SATNet: