Remote Sensing Image Change Detection Based on Low-Rank Representation - Advances in Image and Graphics Technologies - page 344

3. Di Martino, G., Iodice, A., Riccio, D., Ruello, G.: A novel approach for disaster monitor-
ing: Fractal models and tools. IEEE Transactions on Geoscience and Remote Sens-
ing 45(6), 1559-1570 (2007)
4. Ridd, M.K., Liu, J.: A comparison of four algorithms for change detection in an urban en-
vironment. Remote Sensing of Environment 63(2), 95-100 (1998)
5. Singh, A.: Digital change detection techniques using remotely-sensed data. International
Journal of Remote Sensing 10(6), 989-1003 (1989)
6. Bruzzone, L., Prieto, D.F.: Automatic analysis of the difference image for unsupervised
change detection. IEEE Transactions on Geoscience and Remote Sensing38(3),
1171-1182 (2000)
7. Chang, C.I., Wang, S.: Constrained band selection for hyperspectral imagery. IEEE Trans-
actions on Geoscience and Remote Sensing 44(6), 1575-1585 (2006)
8. Townshend, J.R.G., Justice, C.O.: Spatial variability of images and the monitoring of
changes in the normalized difference vegetation index. International Journal of Remote
Sensing 16(12), 2187-2195 (1995)
9. Liu, G., Lin, Z., Yu, Y.: Robust subspace segmentation by low-rank representation. In:
27th International Conference on Machine Learning, pp. 663-670. ICML Press, Haifa
(2010)
10. Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y.: Robust face recognition via
sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelli-
gence 31(2), 210-227 (2009)
11. Shi, J., Jiang, Z.G., Feng, H., Ma, Y.B.: Sparse coding-based topic model for remote sens-
ing image segmentation. In: IEEE Geoscience and Remote Sensing Symposium,
pp. 4122-4125. IEEE Press, Melbourne (2013)
12. Fazel, M.: Matrix rank minimization with applications. PhD thesis. Stanford University
(2002)
13. Lin, Z., Chen, M., Ma, Y.: The augmented lagrange multiplier method for exact recovery
of corrupted low-rank matrices. arXiv preprint arXiv: 1009.5055 (2010)
14. Cai, J.F., Candès, E.J., Shen, Z.: A singular value thresholding algorithm for matrix com-
pletion. SIAM Journal on Optimization 20(4), 1956-1982 (2010)
15. Ghosh, S., Bruzzone, L., Patra, S., Bovolo, F., Ghosh, A.: A context-sensitive technique
for unsupervised change detection based on Hopfield-type neural networks. IEEE Transac-
tions on Geoscience and Remote Sensing 45(3), 778-789 (2007)
16. Li, S., Fang, L., Yin, H.: Multitemporal Image Change Detection Using a Detail-
Enhancing Approach With Nonsubsampled Contourlet Transform. IEEE Geoscience and
Remote Sensing Letters 9(5), 836-840 (2012)
17. Celik, T., Ma, K.K.: Unsupervised change detection for satellite images using dual-tree
complex wavelet transform. IEEE Transactions on Geoscience and Remote Sensing 48(3),
1199-1210 (2010)
18. Celik, T.: Multiscale change detection in multitemporal satellite images. IEEE Geoscience
and Remote Sensing Letters 6(4), 820-824 (2009)