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IRG-McS

MATLAB Code for Iterative Robust Graph for Unsupervised Change Detection of Heterogeneous Remote Sensing Images

Introduction

MATLAB Code: IRG-McS - 2021 This is a test program for the Iterative Robust Graph and Markovian co-Segmentation method (IRG-McS) for heterogeneous change detection.

IRG-McS is an improved version of our previous work of NPSG (https://github.com/yulisun/NPSG) and INLPG (https://github.com/yulisun/INLPG).

NPSG: Sun, Yuli, et al."Nonlocal patch similarity based heterogeneous remote sensing change detection. Pattern Recognition," 2021, 109, 107598.

INLPG: Sun, Yuli, et al. "Structure Consistency based Graph for Unsupervised Change Detection with Homogeneous and Heterogeneous Remote Sensing Images." IEEE Transactions on Geoscience and Remote Sensing, Early Access, 2021, doi:10.1109/TGRS.2021.3053571.

In IRG-McS, a robust adaptive KNN graph of each image is constructed by adaptively selecting unchanged nearest neighbors with appropriate K for each superpixel though an iterative framework combining the DI generation and CM calculation processes; and a superpixel-based MRF co-segmentation model is designed to fuse the forward and backward DIs in the segmentation process to improve the CD accuracy, which is solved by the co-graph cut.

Please refer to the paper for details. You are more than welcome to use the code!

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Available datasets and Graph Cut algorithm

#2-Img7, #3-Img17, and #5-Img5 can be found at Professor Max Mignotte's webpage (http://www-labs.iro.umontreal.ca/~mignotte/) and they are associated with this paper https://doi.org/10.1109/TGRS.2020.2986239.

#6-California can be download from Dr. Luigi Tommaso Luppino's webpage (https://sites.google.com/view/luppino/data) and it is associated with this paper https://doi.org/10.1109/TGRS.2019.2930348.

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

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

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Citation

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

@ARTICLE{9477152,
author={Sun, Yuli and Lei, Lin and Guan, Dongdong and Kuang, Gangyao},
journal={IEEE Transactions on Image Processing},
title={Iterative Robust Graph for Unsupervised Change Detection of Heterogeneous Remote Sensing Images},
year={2021},
volume={30},
number={},
pages={6277-6291},
doi={10.1109/TIP.2021.3093766}}

Running

Unzip the Zip files (GC) and run the IRG-McS demo file (tested in Matlab 2016a)!

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