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[IEEE TGRS 2023] Structural Regression Fusion for Heterogeneous Change Detection

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SRF

MATLAB Code for Structural Regression Fusion for Unsupervised 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 downloda 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{SunStructural2023,
author={Sun, Yuli and Lei, Lin and Liu, Li and Kuang, Gangyao},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={Structural Regression Fusion for Unsupervised Multimodal Change Detection},
year={2023}}

Running

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

If you have any queries, please do not hesitate to contact me ([email protected]).

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