MS-HLMO: Multiscale Histogram of Local Main Orientation for Remote Sensing Image Registration

Paper Link: https://ieeexplore.ieee.org/document/9837033

If you have any queries or suggestions, please do not hesitate to contact me (gao-pingqi@qq.com). If you are from China, you may just speak Chinese~ 中国人直接说中文就可以了~

Run this code by the following procedures:

1. Open and run "A_main_HLMO.m".
2. Set the parameters, if the procedures are clearly understood. Otherwise, use the default.
3. Choose the reference image.
4. Choose the sensed image.
5. Wait for the results.

Testing data are available:

1. MSI: https://drive.google.com/file/d/1MWttUGzkOvqT7rVaqNuvoU5fXrDuD9jh/view?usp=sharing
2. HSI: https://drive.google.com/file/d/1HZo96qHkWgJtsdWeyQXNqwYf0FUv86nH/view?usp=sharing

** Now this registration algorithm is an old-fashioned one, and we highly recommend checking our updated version of MS-HLMO, which is now available at https://github.com/MrPingQi/MS-HLMO_registration-v2.0

📚 Citation

If you find our work useful in your research, please consider citing:

@article{gao2022ms,
  title={{MS-HLMO}: Multiscale histogram of local main orientation for remote sensing image registration},
  author={Gao, Chenzhong and Li, Wei and Tao, Ran and Du, Qian},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={60},
  pages={1--14},
  year={2022},
  publisher={IEEE}
}

An image registration software based on MS-HLMO: is comming soon.