Hyperspectral Image Classification

The detailed results can be seen in the BS2T: Bottleneck Spatial–Spectral Transformer for Hyperspectral Image Classification.

Feel free to contact me if you need any further information: ruoxisong@qq.com

Some of our code references the projects

• [DBDA](Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network)
• [Bottleneck Transformer](Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network)

If our code is helpful to you, please cite R. Song, Y. Feng, W. Cheng, Z. Mu and X. Wang, "BS2T: Bottleneck Spatial–Spectral Transformer for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, 2022, Art no. 5532117, doi: 10.1109/TGRS.2022.3185640.

Requirements：

numpy >= 1.16.5
PyTorch >= 1.3.1
sklearn >= 0.20.4

Acknowledgement：

The authors would like to thank Dr. Li who opened the awesome HS classification framwork of DBDA.# BS271027