Hyperspectral Remote Sensing Images Salient Object Detection: The First Benchmark Dataset and Baseline [TGRS 2025]

by Peifu Liu, Huiyan Bai, Tingfa Xu, Jihui Wang, Huan Chen, and Jianan Li.

Requirements

It is recommended to use Python 3.9. GDAL is available at Google Drive. Feel free to use any PyTorch version.

Dataset

The HRSSD is available at Baidu Netdisk and Google Drive. Please place the dataset in the dataset folder. Our HRSSD is organized as follows:

/HRSSD
    /tr
        /image
        /label
        /mask
    /ts
        /image
        /label
        /mask

Compared Methods

1. MJRBM: Paper, Code
2. FSMINet: Paper, Code
3. CorrNet: Paper, Code
4. ACCoNet: Paper, Code
5. SeaNet: Paper, Code
6. MEANet: Paper, Code
7. CTDNet: Paper, Code
8. TRACER: Paper, Code
9. BBRF: Paper, Code
10. MENet: Paper, Code
11. ADMNet: Paper, Code
12. SED/SG: Paper, Code
13. SUDF: Paper, Code
14. SMN: Paper, Code
15. CSCN: Paper, Code
16. SAHRNet: Paper, Code
17. MambaHSI: Paper, Code
18. MambaLG: Paper, Code
19. DSTC: Paper, Code

Acknowledgement

Our dataset is built upon WHU-OHS. Thanks for their great work!

License

This repository contains two components with different licenses:

Our code is released under the .

The HRSSD dataset is licensed under . It is intended for academic research only. You must attribute the original source, and you are not allowed to modify or redistribute the dataset without permission.