Unsupervised change detection in SAR images using curvelet and L1-norm based soft segmentation

References

• Bovolo, F., and L. Bruzzone. 2005. “A Detail-Preserving Scale-Driven Approach to Change Detection in Multitemporal SAR Images.” IEEE Transactions on Geoscience and Remote Sensing 43 (12): 2963–2972. doi:10.1109/TGRS.2005.857987.
   Web of Science ®Google Scholar
• Boyd, S., N. Parikh, E. Chu, B. Peleato, and J. Eckstein. 2011. “Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers.” Foundations and Trends in Machine Learning 3 (1): 1–122. doi:10.1561/2200000016.
   Google Scholar
• Boyd, S., and L. Vandenberghe. 2009. Convex Optimization. Cambridge: Cambridge University Press.
   Google Scholar
• Bresson, X., S. Esedoḡlu, P. Vandergheynst, J.-P. Thiran, and S. Osher. 2007. “Fast Global Minimization of the Active Contour/Snake Model.” Journal of Mathematical Imaging and Vision 28 (2): 151–167. doi:10.1007/s10851-007-0002-0.
   Web of Science ®Google Scholar
• Bruzzone, L., and D. F. Prieto. 2000. “Automatic Analysis of the Difference Image for Unsupervised Change Detection.” IEEE Transactions on Geoscience and Remote Sensing 38 (3): 1171–1182. doi:10.1109/36.843009.
   Web of Science ®Google Scholar
• Bujor, F., E. Trouvé, L. Valet, J.-M. Nicolas, and J.-P. Rudant. 2004. “Application of Log-Cumulants to the Detection of Spatiotemporal Discontinuities in Multitemporal SAR Images.” IEEE Transactions on Geoscience and Remote Sensing 42 (10): 2073–2084. doi:10.1109/TGRS.2004.835304.
   Web of Science ®Google Scholar
• Candes, E., L. Demanet, D. Donoho, and L. Ying. 2006. “Fast Discrete Curvelet Transforms.” Multiscale Modeling & Simulation 5 (3): 861–899. doi:10.1137/05064182X.
   Web of Science ®Google Scholar
• Candes, E. J., and D. L. Donoho. 2004. “New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2 Singularities.” Communications on Pure and Applied Mathematics 57 (2): 219–266. doi:10.1002/cpa.10116.
   Web of Science ®Google Scholar
• Celik, T. 2009. “Unsupervised Change Detection in Satellite Images Using Principal Component Analysis And-Means Clustering.” IEEE Geoscience and Remote Sensing Letters 6 (4): 772–776. doi:10.1109/LGRS.2009.2025059.
   Web of Science ®Google Scholar
• Celik, T., and K.-K. Ma. 2011. “Multitemporal Image Change Detection Using Undecimated Discrete Wavelet Transform and Active Contours.” IEEE Transactions on Geoscience and Remote Sensing 49 (2): 706–716. doi:10.1109/TGRS.2010.2066979.
   Web of Science ®Google Scholar
• Celik, T., and K.-K. Ma. 2010. “Unsupervised Change Detection for Satellite Images Using Dual-Tree Complex Wavelet Transform.” IEEE Transactions on Geoscience and Remote Sensing 48 (3): 1199–1210. doi:10.1109/TGRS.2009.2029095.
   Web of Science ®Google Scholar
• Chan, T. F., and S. Esedoglu. 2005. “Aspects of Total Variation Regularized L 1 Function Approximation.” SIAM Journal on Applied Mathematics 65 (5): 1817–1837. doi:10.1137/040604297.
   Web of Science ®Google Scholar
• Chan, T. F., S. Esedoglu, and M. Nikolova. 2006. “Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models.” SIAM Journal on Applied Mathematics 66 (5): 1632–1648. doi:10.1137/040615286.
   Web of Science ®Google Scholar
• Chan, T. F., and L. A. Vese. 2001. “Active Contours without Edges.” IEEE Transactions on Image Processing 10 (2): 266–277. doi:10.1109/83.902291.
   PubMed Web of Science ®Google Scholar
• Goldstein, T., and S. Osher. 2009. “The Split Bregman Method for L1-Regularized Problems.” SIAM Journal on Imaging Sciences 2 (2): 323–343. doi:10.1137/080725891.
   Web of Science ®Google Scholar
• Gong, M., L. Su, M. Jia, and W. Chen. 2014. “Fuzzy Clustering with a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images.” IEEE Transactions on Fuzzy Systems 22 (1): 98–109. doi:10.1109/TFUZZ.2013.2249072.
   Web of Science ®Google Scholar
• Gong, M., Z. Zhou, and J. Ma. 2012. “Change Detection in Synthetic Aperture Radar Images Based on Image Fusion and Fuzzy Clustering.” IEEE Transactions on Image Processing 21 (4): 2141–2151. doi:10.1109/TIP.2011.2170702.
   PubMed Web of Science ®Google Scholar
• Guo, X., F. Li, and M. K. Ng. 2009. “A Fast Âďş 1-TV Algorithm for Image Restoration.” SIAM Journal on Scientific Computing 31 (3): 2322–2341. doi:10.1137/080724435.
   Web of Science ®Google Scholar
• Inglada, J., and G. Mercier. 2007. “A New Statistical Similarity Measure for Change Detection in Multitemporal SAR Images and its Extension to Multiscale Change Analysis.” IEEE Transactions on Geoscience and Remote Sensing 45 (5): 1432–1445. doi:10.1109/TGRS.2007.893568.
   Web of Science ®Google Scholar
• Jung, M., M. Kang, and M. Kang. 2014. “Variational Image Segmentation Models Involving Non-Smooth Data-Fidelity Terms.” Journal of Scientific Computing 59 (2): 277–308. doi:10.1007/s10915-013-9766-0.
   Web of Science ®Google Scholar
• Krinidis, S., and V. Chatzis. 2010. “A Robust Fuzzy Local Information C-Means Clustering Algorithm.” IEEE Transactions on Image Processing 19 (5): 1328–1337. doi:10.1109/TIP.2010.2040763.
   PubMed Web of Science ®Google Scholar
• Leprince, S., S. Barbot, F. Ayoub, and J.-P. Avouac. 2007. “Automatic and Precise Orthorectification, Coregistration, and Subpixel Correlation of Satellite Images, Application to Ground Deformation Measurements.” IEEE Transactions on Geoscience and Remote Sensing 45 (6): 1529–1558. doi:10.1109/TGRS.2006.888937.
   Web of Science ®Google Scholar
• Li, F., C. Shen, J. Fan, and C. Shen. 2007. “Image Restoration Combining a Total Variational Filter and a Fourth-Order Filter.” Journal of Visual Communication and Image Representation 18 (4): 322–330. doi:10.1016/j.jvcir.2007.04.005.
   Web of Science ®Google Scholar
• Li, F., and T. Zeng. 2014. “A Universal Variational Framework for Sparsity Based Image Inpainting.” IEEE Transactions on Image Processing 23 (10): 4242–4254. doi:10.1109/TIP.2014.2346030.
   PubMed Web of Science ®Google Scholar
• Moser, G., and S. B. Serpico. 2009. “Unsupervised Change Detection from Multichannel SAR Data by Markovian Data Fusion.” IEEE Transactions on Geoscience and Remote Sensing 47 (7): 2114–2128. doi:10.1109/TGRS.2009.2012407.
   Web of Science ®Google Scholar
• Radke, R. J., S. Andra, O. Al-Kofahi, and B. Roysam. 2005. “Image Change Detection Algorithms: A Systematic Survey.” IEEE Transactions on Image Processing 14 (3): 294–307. doi:10.1109/TIP.2004.838698.
   PubMed Web of Science ®Google Scholar
• Rignot, E. J. M., and J. J. van Zyl. 1993. “Change Detection Techniques for ERS-1 SAR Data.” IEEE Transactions on Geoscience and Remote Sensing 31 (4): 896–906. doi:10.1109/36.239913.
   Web of Science ®Google Scholar
• Rosin, P. L., and E. Ioannidis. 2003. “Evaluation of Global Image Thresholding for Change Detection.” Pattern Recognition Letters 24 (14): 2345–2356. doi:10.1016/S0167-8655(03)00060-6.
   Web of Science ®Google Scholar
• Schmitt, A., A. Wendleder, and S. Hinz. 2015. “The Kennaugh Element Framework for Multi-Scale, Multi-Polarized, Multi-Temporal and Multi-Frequency SAR Image Preparation.” ISPRS Journal of Photogrammetry and Remote Sensing 102: 122–139. doi:10.1016/j.isprsjprs.2015.01.007.
   Web of Science ®Google Scholar
• Schmitt, A., B. Wessel, and A. Roth. 2009. “Curvelet Approach for SAR Image Denoising, Structure Enhancement, and Change Detection.” International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 38 (3/W4): 151–156.
   Google Scholar
• Schmitt, A., B. Wessel, and A. Roth. 2014. “An Innovative Curvelet-Only-Based Approach for Automated Change Detection in Multi-Temporal SAR Imagery.” Remote Sensing 6 (3): 2435–2462. doi:10.3390/rs6032435.
   Web of Science ®Google Scholar
• Viera, A. J., and J. M. Garrett. 2005. “Understanding Interobserver Agreement: The Kappa Statistic.” Family Medicine 37 (5): 360–363.
   PubMed Web of Science ®Google Scholar
• Zhang, X., J. Chen, and H. Meng. 2013. “A Novel SAR Image Change Detection Based on Graph-Cut and Generalized Gaussian Model.” IEEE Geoscience and Remote Sensing Letters 10 (1): 14–18. doi:10.1109/LGRS.2012.2189867.
   Web of Science ®Google Scholar
• Zhang, Y. 2010. An Alternating Direction Algorithm for Nonnegative Matrix Factorization. Technical report. Advance online publication. http://www.caam.rice.edu/~zhang/reports/tr1003.pdf
   Google Scholar
• Zheng, Y., X. Zhang, B. Hou, and G. Liu. 2014. “Using Combined Difference Image and-Means Clustering for SAR Image Change Detection.” IEEE Geoscience and Remote Sensing Letters 11 (3): 691–695. doi:10.1109/LGRS.2013.2275738.
   Web of Science ®Google Scholar