UPCGIT / SSABN

SSABN：Spatial-spectral Attention Bilateral Network for Hyperspectral Unmixing.

SSABN

Spatial-spectral Attention Bilateral Network for Hyperspectral Unmixing

The code in this toolbox implements the "Spatial-spectral Attention Bilateral Network for Hyperspectral Unmixing".

System-specific notes

The code was tested in the environment of Python 3.8 and tensorflow 2.4.1.

Install requirements.txt dependency package (environment).

pip install -r requirements.txt

The environment can be quickly installed on the target machine.

Run the code

Directly run SSABN_demo.ipynb to reproduce the results on the Samson data.

If you want to run the code on your own data, you can change the input accordingly, place the data under the Dataset folder, and tune the parameters. It is important to pay attention to the shape of the input matrix.

Citation

Spatial-spectral Attention Bilateral Network for Hyperspectral Unmixing