Unsupervised change detection with expectation-maximization-based level set

IEEE Geoscience and Remote Sensing Letters

Volumn 11, Issue 1, 2014, Pages 210-214

  Hao, Ming ^a   Shi, Wenzhong ^b   Zhang, Hua ^a   Li, Chang ^c  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c CENTRAL CHINA NORMAL UNIVERSITY   (China)

Author keywords

Expectation maximization (EM); level set method; remote sensing; unsupervised change detection

Indexed keywords

DIFFERENCE IMAGES; EXPECTATION MAXIMIZATION; GAUSSIAN MIXTURE MODEL; LEVEL SET METHOD; MULTI-TEMPORAL IMAGE; REMOTELY SENSED IMAGES; TOPOLOGICAL CHANGES; UNSUPERVISED CHANGE DETECTION;

DROP BREAKUP; LEVEL MEASUREMENT; MAXIMUM PRINCIPLE; PIXELS; REMOTE SENSING;

SIGNAL DETECTION;

EID: 84888308186     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2013.2252879     Document Type: Article

References (21)

1. D. Lu, P. Mausel, E. Brond́zio, and E. Moran, "Change detection techniques," Int. J. Remote Sens., vol. 25, no. 12, pp. 2365-2401, Jun. 2004.
2. L. Bruzzone and D. F. Prieto, "Automatic analysis of the difference image for unsupervised change detection," IEEE Trans. Geosci. Remote Sens., vol. 38, no. 3, pp. 1171-1182, May 2000.
3. P. Coppin, I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin, "Digital change detection methods in ecosystem monitoring: A review," Int. J. Remote Sens., vol. 25, no. 9, pp. 1565-1596, May 2004. (Pubitemid 38516797)
4. A. Singh, "Digital change detection techniques using remotelysensed data," Int. J. Remote Sens., vol. 10, no. 6, pp. 989-1003, 1989.
5. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," Int. J. Comput. Vision, vol. 1, no. 4, pp. 321-331, 1988.
6. T. F. Chan and L. A. Vese, "Active contours without edges," IEEE Trans. Image Process., vol. 10, no. 2, pp. 266-277, Feb. 2001. (Pubitemid 32254596)
7. S. Ahmadi, M. Zoej, H. Ebadi, H. A. Moghaddam, and A. Mohammadzadeh, "Automatic urban building boundary extraction from high resolution aerial images using an innovative model of active contours," Int. J. Appl. Earth Observation, vol. 12, no. 3, pp. 150-157, 2010.
8. Y. Jing, J. An, and Z. Liu, "A Novel edge detection algorithm based on global minimization active contour model for oil slick infrared aerial image," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 6, pp. 2005-2013, Jun. 2011.
9. J. Ball and L. Bruce, "Level set hyperspectral image classification using best band analysis," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3022-3027, Oct. 2007.
10. T. Celik and K. K. Ma, "Multitemporal image change detection using undecimated discrete wavelet transform and active contours," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 2, pp. 706-716, Feb. 2011.
11. Y. Bazi, F. Melgani, and H. D. Al-Sharari, "Unsupervised change detection in multispectral remotely sensed imagery with level set methods," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 8, pp. 3178-3187, Aug. 2010.
12. L. He, W. G. Wee, S. Zheng, and L. Wang, "A level set model without initial contour," in Proc. Appl. Comp. Vision Workshop, 2009, pp. 1-6.
13. M. Li, C. He, and Y. Zhan, "Adaptive level-set evolution without initial contours for image segmentation," J. Electron. Imaging, vol. 20, no. 2, p. 023004, Apr.-Jun. 2011.
14. J. Kittler and J. Illingworth, "Minimum error thresholding," Pattern Recog., vol. 19, no. 1, pp. 41-47, 1986.
15. C. M. Bishop, Pattern Recognition Mach. Learning. New York, NY, USA: Springer, 2006.
16. T. F. Chan, H. Li, M. Lysaker, and X. C. Tai, "Level set method for positron emission tomography," Int. J. Biomed. Imaging, vol. 2007, p. 26950, 2007.
17. S. Osher and J. A. Sethian, "Fronts propagating with curvaturedependent speed: Algorithms based on Hamilton-Jacobi formulations," J. Comput. Phys., vol. 79, no. 1, pp. 12-49, 1988.
18. Z. Yetgin, "Unsupervised change detection of satellite images using local gradual descent," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 5, pp. 1919-1929, May 2012.
19. C. Li, R. Huang, Z. Ding, J. C. Gatenby, D. N. Metaxas, and J. C. Gore, "A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI," IEEE Trans. Image Process., vol. 20, no. 7, pp. 2007-2016, Jul. 2011.
20. C. Li, C. Y. Kao, J. C. Gore, and Z. Ding, "Minimization of regionscalable fitting energy for image segmentation," IEEE Trans. Image Process., vol. 17, no. 10, pp. 1940-1949, Oct. 2008.
21. C. Li, C. Xu, C. Gui, and M. D. Fox, "Distance regularized level set evolution and its application to image segmentation," IEEE Trans. Image Processing, vol. 19, no. 12, pp. 3243-3254, Dec. 2010.