Unsupervised change detection in SAR image based on Gauss-log ratio image fusion and compressed projection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 8, 2014, Pages 3297-3317

  Hou, Biao ^a   Wei, Qian ^a   Zheng, Yaoguo ^a   Wang, Shuang ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Change detection; Compressed projection; Image fusion; Nonsubsampled contourlet transform (NSCT); Synthetic aperture radar (SAR)

Indexed keywords

SYNTHETIC APERTURE RADAR;

CHANGE DETECTION; COMPRESSED PROJECTION; NON SUBSAMPLED CONTOURLET TRANSFORM (NSCT); SAR IMAGES; UNSUPERVISED CHANGE DETECTION;

IMAGE FUSION;

CLUSTER ANALYSIS; IMAGE ANALYSIS; SPECKLE; SYNTHETIC APERTURE RADAR; TERRAIN; TRANSFORM;

EID: 84908011389     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2328344     Document Type: Article

References (41)

1. R. J. Radke, S. Andra, O. Al-Kofahi, and B. Roysam, "Image change detection algorithms: A systematic survey," IEEE Trans. Image Process., vol. 14, no. 3, pp. 294-307, Mar. 2005.
2. T. Celik, "Multiscale change detection in multitemporal satellite images," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 820-824, Oct. 2009.
3. F. Bovolo and L. Bruzzone, "A detail-preserving scale-driven approach to change detection in multitemporal SAR images," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 12, pp. 2963-2972, Dec. 2005.
4. T. Celik, "Change detection in satellite images using a genetic algorithm approach," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 2, pp. 386-390, Apr. 2010.
5. L. Bruzzone and D. F. Prieto, "An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remotesensing images," IEEE Trans. Image Process., vol. 11, no. 4, pp. 452-466, Apr. 2002.
6. S. Marchesi, F. Bovolo, and L. Bruzzone, "A context-sensitive technique robust to registration noise for change detection in VHR multispectral images," IEEE Trans. Image Process., vol. 19, no. 7, pp. 1877-1889, Jul. 2010.
7. Y. Bazi, L. Bruzzone, and F. Melgani, "An unsupervised approach based on the generalized Gaussian model to automatic change detection in multi-temporal SAR images," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 874-887, Apr. 2005.
8. F. Bujor, E. Trouvé, L. Valet, J. M. Nicolas, and J. P. Rudant, "Application of log-cumulants to the detection of spatiotemporal discontinuities in multitemporal SAR images," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 10, pp. 2073-2084, Oct. 2004.
9. J. Inglada and G. Mercier, "A new statistical similarity measure for change detection in multitemporal SAR images and its extension to multiscale change analysis," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 5, pp. 1432-1445, May 2007.
10. E. Rignot and J. VanZyl, "Change detection techniques for ERS-1 SAR data," IEEE Trans. Geosci. Remote Sens., vol. 31, no. 4, pp. 896-906, Jul. 1993.
11. X. H. Zhang, L. Wang, and L. C. Jiao, "An unsupervised change detection based on clustering combined with multiscale and region growing," in Proc. Int. Workshop Multi-Platform/Multi-Sensor Remote Sens. Mapp. (M2RSM), 2011, pp. 1-4.
12. S. G. Chang, B. Yu, and M. Vetterli "Spatially adaptive wavelet thresholding with context modeling for image denoising," IEEE Trans. Image Process., vol. 9, no. 9, pp. 1522-1531, Sep. 2000.
13. T. Nabil, "SAR image filtering in wavelet domain by subband depended shrink," Int. J. Open Probl. Comput. Math., vol. 2, no. 1, pp. 58-68, Mar. 2009.
14. A. L. da Cunha, J. Zhou, and M. N. Do, "The nonsubsampled contourlet transform: Theory, design, and application," IEEE Trans. Image Process., vol. 15, no. 10, pp. 3089-3101, Oct. 2006.
15. M. N. Do and M. Vetterli, "The contourlet transform: An efficient directional multiresolution image representation," IEEE Trans. Image Process., vol. 14, no. 12, pp. 2091-2106, Dec. 2005.
16. S. T. Li, L. Y. Fang, and H. T. Yin, "Multitemporal image change detection using a detail-enhancing approach with nonsubsampled contourlet transform," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 5, pp. 836-840, Sep. 2012.
17. M. Sezgin and B. Sankur, "A survey over image thresholding techniques and quantitative performance evaluation," J. Electron. Imag., vol. 13, no. 1, pp. 146-165, Jan. 2004.
18. Y. F. Ban and O. A. Yousif, "Multitemporal spaceborne SAR data for urban change detection in China," IEEE J. Sel. Topics Appl. Earth. Observ. Remote Sens., vol. 5, no. 4, pp. 1087-1094, Aug. 2012.
19. T. Celik, "Unsupervised change detection in satellite images using principal component analysis and k-means clustering," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 772-776, Oct. 2009.
20. X. R. Zhang, Z. M. Li, B. Hou, and L. C. Jiao, "Spectral clustering based unsupervised change detection in SAR images," in Proc. Int. Geosci. Remote Sens. Symp. (IGARSS), Vancouver, BC, Canada, Jul. 2011, vol. 3, pp. 712-715.
21. S. Cui and M. Datcu, "Statistical wavelet subband modeling for multitemporal SAR change detection," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 4, pp. 1095-1109, Aug. 2012.
22. M. G. Gong, Z. Q. Zhou, and J. J. Ma, "Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering," IEEE Trans. Image Process., vol. 21, no. 4, pp. 2141-2151, Apr. 2012.
23. C. Berger et al., "Multi-modal and multi-temporal data fusion: Outcome of the 2012 GRSS data fusion contest," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 3, pp. 1324-1340, Jun. 2013.
24. H. Z. Gao and B. J. Zou, "Algorithms of image fusion based on wavelet transform," in Proc. Int. Conf. Image Anal. Signal Process. (IASP), 2012, pp. 1-4.
25. J. J. Ma, M. G. Gong, and Z. Q. Zhou, "Wavelet fusion on ratio images for change detection in SAR images," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 6, pp. 1122-1126, Nov. 2012.
26. S. M. M. Rahman, M. O. Ahmad, and M. N. S. Swamy, "Contrast-based fusion of noisy images using discrete wavelet transform," IET Image Process., vol. 4, no. 5, pp. 374-384, 2010.
27. S. X. Zhang and X. Z. Chong, "Medical image fusion based on an improved wavelet coefficient contrast," in Proc. 3rd Int. Conf. Bioinformat. Biomed. Eng., Jun. 2009, pp. 1-4.
28. C. Wu and Y. Q. Wu, "Multitemporal images change detection using nonsubsampled contourlet transform and kernel fuzzy c-means clustering," in Proc. Int. Symp. Intell. Inf. Process. Trusted Comput., 2011, pp. 96-99.
29. D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage," Biometrika, vol. 81, no. 3, pp. 425-455, 1994.
30. L. Y. Fang, S. T. Li, and J. W. Hu "Multitemporal image change detection with compressed sparse representation," in Proc. 18th IEEE Int. Conf. Image Process., 2011, pp. 2673-2676.
31. R. Calderbank, S. Jafarpour, and R. Schapire. (2009). Compressed Learning: Universal Sparse Dimensionality Reduction and Learning in the Measurement Domain [Online]. Available: http://dsp.rice.edu/files/cs/cl.pdf
32. T. Wan, N. Canagaraiah, and A. Achim, " Compressive image fusion," in Proc. IEEE Int. Conf. Image Process., 2008, pp. 1308-1311.
33. L. Liu and P. W. Fieguth, "Texture classification from random features," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 3, pp. 574-586, Mar. 2012.
34. E. J. Candès and T. Tao, "Near-optimal signal recovery from random projections: Universal encoding strategies?" IEEE Trans. Inf. Theory, vol. 52, no. 12, pp. 5406-5425, Dec. 2006.
35. D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
36. E. J. Candès and M. B. Wakin, "An introduction to compressive sampling," IEEE Signal Process. Mag., vol. 25, no. 2, pp. 21-30, Mar. 2008.
37. S. Dasgupta and A. Gupta, "An elementary proof of theorem of Johnson and Lindenstrauss," Random Struct. Algorithms, vol. 22, no. 1, pp. 60-65, 2003.
38. J. S. Lee, K. Hoppel, and S. A. Mango, "Unsupervised estimation of speckle noise in radar images," Int. J. Imag. Syst. Technol., vol. 4, no. 4, pp. 298-305, 1992.
39. A. Lopes, R. Touzi, and E. Nezry, "Adaptive speckle filters and scene heterogeneity, " IEEE Trans. Geosci. Remote Sens., vol. 28, no. 6, pp. 992-1000, Nov. 1990.
40. M. G. Gong, Y. Cao, and Q. D. Wu, "A neighborhood-based ratio approach for change detection in SAR images," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 2, pp. 307-311, Mar. 2012.
41. P. L. Rosin and E. Ioannidis, "Evaluation of global image thresholding for change detection," Pattern Recognit. Lett., vol. 24, no. 14, pp. 2345-2356, Oct. 2003.