College of Information Engineering
Inner Mongolia University of Technology
China
Homepage
College of Information Engineering
Inner Mongolia University of Technology
China
Homepage
College of Information Engineering
Inner Mongolia University of Technology
China
Homepage
College of Information Engineering
Inner Mongolia University of Technology
China
Homepage
College of Information Engineering
Inner Mongolia University of Technology
China
Homepage1. Wang, Y., L. Du, and H. Dai, "Unsupervised SAR image change detection based on SIFT keypoints and region information," IEEE Geoscience and Remote Sensing Letters, Vol. 13, No. 7, 931-935, July 2016.
doi:10.1109/LGRS.2016.2554606 Google Scholar
2. Ren, H., P. Huang, W. Tan, W. Xu, F. Liu, and M. Zhang, "Unsupervised image change detection based on ground-based imaging radar," 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 1-5, 2019. Google Scholar
3. Zhuang, H. Fan, H. Deng, K. Yao, and B. Guo, "A spatial-temporal adaptive neighborhood-based ratio approach for change detection in SAR images," Remote Sensing, Vol. 10, No. 8, 2018.
doi:10.3390/rs10081295 Google Scholar
4. Zhang, X., W. Liu, and S. He, "Urban change detection in TerraSAR image using the difference method and sar coherence coefficient," Journal of Engineering Science And Technology Review, Vol. 11, No. 3, 18-23, 2018.
doi:10.25103/jestr.113.03 Google Scholar
5. Bovolo, F. and L. Bruzzone, "A detail-preserving scale-driven approach to change detection in multitemporal SAR images," IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 12, 2963-2972, Dec. 2005.
doi:10.1109/TGRS.2005.857987 Google Scholar
6. Sumaiya, M., N. Kumari, R. Shantha, and Selva, "Logarithmic mean-based thresholding for SAR image change detection," IEEE Geoscience and Remote Sensing Letters, Vol. 13, No. 11, 1726-1728, 2016.
doi:10.1109/LGRS.2016.2606119 Google Scholar
7. Arai and Kohei, "Change detection method with multi-temporal satellite images based on wavelet decomposition and tiling," International Journal of Modern Physics A, Vol. 12, No. 3, 56-61, 2021. Google Scholar
8. Zhou, Y., L. Zhang, and P. Hua, "Combined simulated annealing and soft-threshold wavelet denoising of SAR image," Journal of Beijing University of Aeronautics and Astronautics, Vol. 32, No. 3, 293-296, 2006. Google Scholar
9. Yetgin, Z., "Unsupervised change detection of satellite images using local gradual descent," IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 5, 1919-1929, May 2012.
doi:10.1109/TGRS.2011.2168230 Google Scholar
10. Liu, L., Z. Jia, J. Yang, and N. K. Kasabov, "SAR image change detection based on mathematical morphology and the K-means clustering algorithm," IEEE Access, Vol. 7, 43970-43978, 2019.
doi:10.1109/ACCESS.2019.2908282 Google Scholar
