Skip to content
/ RFM-LC Public

Codes for Robust Feature Matching via Local Consensus

License

Notifications You must be signed in to change notification settings

MnYangs/RFM-LC

Repository files navigation

RFM-LC

Codes for Robust Feature Matching via Local Consensus

We propose a robust feature matching method of remote sensing images based on local consensus. This method is based on the neighborhood and motion vector consensus constraints of potential real correspondences between two images of the same object or scene.

Requirement

RFM-LC requires VLfeat. You can download it at: https://www.vlfeat.org

Citation

Please refer to our following papers for algorithm details: J. Chen, M. Yang, C. Peng, L. Luo and W. Gong, "Robust Feature Matching via Local Consensus," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2022.3151226. https://ieeexplore.ieee.org/document/9712312

@ARTICLE{9712312,
  author={Chen, Jun and Yang, Meng and Peng, Chengli and Luo, Linbo and Gong, Wenping},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Robust Feature Matching via Local Consensus}, 
  year={2022},
  volume={60},
  number={},
  pages={1-16},
  doi={10.1109/TGRS.2022.3151226}}

About

Codes for Robust Feature Matching via Local Consensus

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages