Open Access
Volume 36, Number 3, June 2018
Page(s) 426 - 431
Published online 08 October 2018
  1. Wan Honglin, Jiao Licheng, Xin Fangfang. Interactive Segmentation Technique and Decision-Level Fusion Based Change Detection for SAR Images[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(1):74-80 (in Chinese) [Article] [Google Scholar]
  2. Chen Zhonghui, Wang Weixing, Yu Tianchao, et al. Remote Sensing Image Variation Detection on Multi-Scale MRF Fusion[J]. Journal of Sichuan University, 2011, 43(3):104-108 (in Chinese) [Article] [Google Scholar]
  3. Shi A, Gao G, Shen S. Change Detection of Bitemporal Multispectral Images Based on FCM and D-S Theory[J]. Journal of Advances in Signal Processing, 2016, 2016(1):1-12 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  4. Dian Yuanyong, Fang Shenghui, Yao Chonghuai. Change Detection for High-Resolution Images Using Multilevel Segment Method[J]. Journal of Remote Sensing, 2016, 20(1):129-137 (in Chinese) [Article] [Google Scholar]
  5. Zhao Lei, Wang Bin, Zhang Liming. Unsupervised Change Detection for Multichannnel Remote Sensing Images Based on FCM and Neighborhood Analysis[J]. Journal of Data Acquisition & Processing, 2011, 26(4):395-401 (in Chinese) [Article] [Google Scholar]
  6. Krishna K S, Akansha M, Nigam M J, et al. Unsupervised Change Detection from Remote Sensing Images Using Hybrid Genetic FCM[C]//2013 Students Conference on Engineering and Systems, 2013: 1-5 [Article] [Google Scholar]
  7. Rabigul H, Jia Zhenhong, Qin Xizhong, et al. Based on NSCT Combination with FCM Multitemporal Remote Sensing Image Change Detection[J]. Lasernal, 2014, 35(2):42-44 (in Chinese) [Article] [Google Scholar]
  8. Bovolo F, Bruzzone L. A Wavelet-Based Change-Detection Technique for Multitemporal SAR Images[C]//Proceedings of the Third International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005: 85-89 [Article] [Google Scholar]
  9. Li Zhenxuan, Shi Wenzhong, Zhang Hua, Hao Ming. Change Detection Based on Gabor Wavelet Features for very High Resolution Remote Sensing Images[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(5):783-787 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  10. Harshada N M, Bhakti S. Unsupervised Approach for Change Map Generation[C]//2016 International Conference on Communication and Signal Processing Melmaruvathur, India, 2016: 0037-0041 [Article] [Google Scholar]
  11. Mu Caihong, Huo Lili, Liu Yi, et al. Change Detection for Remote Sensing Images Based on Wavelet Fusion and PCA-Kernel Fuzzy Clustering[J]. Acta Electronica Sinica, 2015, 43(7):1375-1381 (in Chinese) [Article] [Google Scholar]
  12. Song Hongxun, Wang Weixing, Zhang Tingting, et al. Change Detection Algorithm on Wavelet and Markov Random Field[J]. International Journal of Signal Processing Image Processing and Pattern Recognition, 2015, 8(4):181-190 [Article] [CrossRef] [Google Scholar]
  13. Zhai Lu. Change Detection in Remote Sensing Images Based on Image Fusion and Improved Level Set Methods[D]. Xi’an, Xidian University, 2013 (in Chinese) [Google Scholar]
  14. De Y D, Bhowmik S, Magnago F. An Effective Support Vector Machines[J]. Expert Systems with Applications an International Journal, 2015, 42(15/16):6075-6081 [Article] [CrossRef] [Google Scholar]
  15. Guo Lei, Liu Kun. Applying NSCT(Nonsubsampled Contourlet Transform) Theory to Achieving Effective Image Fusion[J]. Journal of Northwestern Polytechnical University, 2009, 27(2):255-259 (in Chinese) [Article] [Google Scholar]
  16. Gong M G, Zhou Z Q, Ma J J, Change Detection in Synthetic Aperture Radar Images Based on Wavelet Fusion and Improved Fuzzy Clustering[J]. IEEE Trans on Image Process, 2012, 21(4): 2141-2151 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  17. Gharieb R R, Gendy G, Abdelfattah A. A Robust Local Data and Membership Information Based FCM Algorithm for Noisy Image Segmentation[C]//The 12th International Computer Engineering Conference, 2016: 93-98 [Article] [Google Scholar]
  18. Shao P, Shi W, He P, et al. Novel Approach to Unsupervised Change Detection Based on a Robust Semi-Supervised FCM Clustering Algorithm[J]. Remote Sensing, 2016, 8(3):264 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  19. Lu Xiaoqiang, Yuan Yuan, Zheng Xiangtao. Joint Dictionary Learning for Multispectral Change Detection[J]. IEEE Trans on Cybernetics, 2017, 47(4):884-897 [Article] [CrossRef] [Google Scholar]

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