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[ISPRS P&RS 2024] Similarity and Dissimilarity induced Image Regression (SDIR) for Multimodal Change Detection

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SDIR

MATLAB Code for Similarity and Dissimilarity induced Image Regression (SDIR) for Multimodal Change Detection.

Related supporting algorithms

The graphCut algorithm is download from Professor Anton Osokin's webpage at https://github.com/aosokin/graphCutMex_BoykovKolmogorov.

The Gaussian Mixture Model based superpixel segmentation is download from Dr. Ban Zhihua's webpage at https://github.com/ahban/GMMSP-superpixel.

If you use these resources, please cite their relevant papers.

Citation

If you use this code for your research, please cite our paper. Thank you!

@article{SUN202470, title = {Similarity and dissimilarity relationships based graphs for multimodal change detection},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
volume = {208},
pages = {70-88},
year = {2024},
issn = {0924-2716},
doi = {https://doi.org/10.1016/j.isprsjprs.2024.01.002},
author = {Yuli Sun and Lin Lei and Zhang Li and Gangyao Kuang}
}

Running

Unzip the Zip files (GC,GMMSP-superpixel-master) and run the SDIR demo file (tested in Matlab 2016a)!

If you have any queries, please do not hesitate to contact me (sunyuli@mail.ustc.edu.cn).

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