Remote-Sensing Image Change Detection with Fusion of Multiple Wavelet Kernels

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

Volumn 9, Issue 8, 2016, Pages 3405-3418

  Jia, Lu ^a   Li, Ming ^a   Zhang, Peng ^a   Wu, Yan ^a   An, Lin ^a   Song, Wanying ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Change detection; fusion of multiple wavelet kernels; ratio image; remote sensing image; subtraction image

Indexed keywords

ALGORITHMS; IMAGE RECONSTRUCTION; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SIGNAL DETECTION; SPACE OPTICS;

CHANGE DETECTION ALGORITHMS; CLASSIFICATION ALGORITHM; COMPLEX BACKGROUND; CORRELATION COEFFICIENT; DIFFERENCE IMAGES; K-MEANS CLUSTERING; MINIMUM EUCLIDEAN DISTANCES; REMOTE SENSING IMAGES;

IMAGE ANALYSIS;

ALGORITHM; DETECTION METHOD; HOMOGENEITY; IMAGE ANALYSIS; REMOTE SENSING; STATISTICAL ANALYSIS; WAVELET ANALYSIS;

EID: 84953315385     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2508043     Document Type: Article

References (37)

1. A. Singh, "Digital change detection techniques using remotely sensed data," Int. J. Remote Sens., vol. 10, pp. 989-1003, 1989.
2. J. C. Mark, "A cluster-based approach for detecting man-made objects and changes in imagery," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 2, pp. 374-387, Feb. 2005.
3. B. Wang, S. Choi, Y. Byun, S. Lee, and J. Choi, "Object-based change detection of very high resolution satellite imagery using the cross-Sharpening of multitemporal data," IEEE Geosci. Remote Sens. Lett., vol. 12, no. 5, pp. 1151-1155, May 2015.
4. D. Lu, E. Moran, and S. Hetrick, "Detection of impervious surface change with multitemporal Landsat images in an urban-rural frontier," ISPRS J. Photogramm. Remote Sens., vol. 66, pp. 298-306, 2011.
5. C. Pratola, F. D. Frate, G. Schiavon, and D. Solimini, "Toward fully automatic detection of changes in suburban areas from VHR SAR images by combining multiple neural-network models," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 4, pp. 2055-2066, Apr. 2013.
6. Z. Lei, T. Fang, H. Huo, and D. Li, "Bi-temporal texton forest for land cover transition detection on remotely sensed imagery," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 2, pp. 1227-1237, Feb. 2014.
7. C. Vaduva, T. Costachioiu, C. Patrascu, I. Gavat, V. Lazarescu, and M. Datcu, "A latent analysis of earth surface dynamic evolution using change map time series," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 4, pp. 2105-2118, Apr. 2013.
8. J. E. S. Fransson, F. Walter, K. Blennow, A. Gustavsson, and L. M. H. Ulander, "Detection of storm-damaged forested areas using airborne CARABAS-IIVHF SAR image data," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 10, pp. 2170-2175, Oct. 2002.
9. S. Martinis, A. Twele, and S. Voigt, "Unsupervised extraction of floodinduced backscatter changes in SAR data using Markov image modeling on irregular graphs," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 1, pp. 251-263, Jan. 2011.
10. T. Hayasake, D. L. Wu, and Y. Q. Jin, "Microwave remote sensing of the atmosphere and environment," Proc. SPIE, vol. 3503, pp. 196-245, 1998.
11. J. F. Mas, "Monitoring land-cover changes: A comparison of change detection techniques," Int. J. Remote Sens., vol. 20, pp. 139-152, 1999.
12. Y. Zheng, X. Zhang, B. Hou, and G. Liu, "Using combined difference image and k-means clustering for SAR image change detection," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 3, pp. 691-695, Mar. 2014.
13. M. Gong, Z. Zhou, and 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.
14. L. Zhang, L. Zhang, D. Tao, and X. Huang, "On combining multiple features for hyperspectral remote sensing image classification," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 879-893, Mar. 2012.
15. L. Zhang, Q. Zhang, L. Zhang, D. Tao, X. Huang, and B. Do, "Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding," Pattern Recog., vol. 48, pp. 3102-3112, 2015.
16. 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.
17. T. Celik, "Bayesian change detection based on spatial sampling and Gaussian mixture model," Pattern Recog. Lett., vol. 32, pp. 1635-1642, May 2011.
18. Y. Bazi, L. Bruzzone, and F. Melgani, "An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 874-887, Apr. 2005.
19. F. Chatelain, J. Y. Tourneret, and J. Inglada, "Change detection in multisensory SAR images using bivariate Gamma distributions," IEEE Trans. Image Process., vol. 17, no. 3, pp. 249-258, Mar. 2008.
20. 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.
21. T. Celik and K. K. Ma, "Unsupervised change detection for satellite images using dual-tree complex wavelet transform," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 3, pp. 1199-1210, Mar. 2010.
22. B. Hou, Q.Wei, Y. Zheng, and S.Wang, "Unsupervised change detection in SAR image based on Gauss-log ratio image fusion and compressed projection," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 8, pp. 3297-3317, Aug. 2014.
23. P. Du, S. Liu, P. Gamba, K. Tan, and J. Xia, "Fusion of difference images for change detection over urban areas," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 4, pp. 1076-1086, Aug. 2012.
24. Y. Chen and Z. Cao, "An improved MRF-based change detection approach for multitemporal remote sensing imagery," Signal Process., vol. 93, pp. 163-175, 2013.
25. H. Li, M. Li, P. Zhang, W. Song, L. An, and Y. Wu, "SAR image change detection based on hybrid conditional random field," IEEE Geosci. Remote Sens. Lett., vol. 12, no. 4, pp. 910-914, Apr. 2015.
26. F. Wang, Y. Wu, Q. Zhang, P. Zhang, M. Li, and Y. Lu, "Unsupervised change detection on SAR images using triplet Markov field model," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 4, pp. 697-701, Jul. 2013.
27. K. R. Muller, S. Mika, G. Ratsh, K. Tsuda, and B. Scholkopf, "An introduction to kernel-based learning algorithms," IEEE Trans. Neural Netw., vol. 12, no. 2, pp. 181-202, Mar. 2001.
28. G. Camps-Valls, L. Gomez-Chova, J. Munoz-Mari, J. L. Rojo-Alvarez, and M. Martinez-Ramon, "Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 6, pp. 1822-1835, Jun. 2008.
29. L. Jia et al., "SAR image change detection based on iterative labelinformation composite kernel supervised by anisotropic texture," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 7, pp. 3960-3973, Jul. 2015.
30. L. Jia, M. Li, Y.Wu, P. Zhang, and H. Chen, "Semisupervised SAR image change detection using a cluster-neighborhood kernel," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 8, pp. 1443-1447, Aug. 2014.
31. M. Volpi, D. Tuis, G. Camps-Valls, and M. Kanevski, "Unsupervised change detection with kernels," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 6, pp. 1026-1030, Nov. 2012.
32. J. Shawe-Taylor and N. Cristianini, Kernel Methods for Pattern Analysis. Cambridge, U.K.: Cambridge Univ. Press, 2004.
33. L. Zhang,W. Zhou, and L. Jiao, "Wavelet support vector machine," IEEE Trans. Syst. Man Cybern., vol. 34, no. 1, pp. 34-39, Feb. 2004.
34. A. Tolambiya and P. K. Kalra, "Relevance vector machine with adaptive wavelet kernels for efficient image coding," Neurocomputing, vol. 73, pp. 1417-1424, 2010.
35. 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.
36. 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.
37. G. Banko, "A review of assessing the accuracy of classifications of remotely sensed data and of methods including remote sensing data in forest inventory," Int. Inst. Appl. Syst. Anal., Vienna, Austria, Interim Rep. 81, Nov. 1998.