A novel method of unsupervised change detection using multi-temporal PolSAR images

Remote Sensing

Volumn 9, Issue 11, 2017, Pages

  Liu, Wensong ^a   Yang, Jie ^a   Zhao, Jinqi ^a,b   Yang, Le ^a  

^a WUHAN UNIVERSITY   (China)

^b SOUTHERN METHODIST UNIVERSITY   (United States)

Author keywords

Generalized Gaussian mixture model (GMM); Generalized statistical region merging (GSRM); PolSAR; Test statistic; Unsupervised change detection

Indexed keywords

GAUSSIAN DISTRIBUTION; MERGING; POLARIMETERS; SPEECH RECOGNITION; STATISTICAL TESTS; STATISTICS; SYNTHETIC APERTURE RADAR;

GENERALIZED GAUSSIAN MIXTURE MODEL; POLSAR; STATISTICAL REGION MERGING; TEST STATISTICS; UNSUPERVISED CHANGE DETECTION;

IMAGE SEGMENTATION;

EID: 85034738466     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs9111135     Document Type: Article

References (42)

1. Singh, A. Review Article Digital change detection techniques using remotely-sensed data. Int. J. Remote Sens. 1989, 10, 989-1003
2. Bruzzone, L.; Bovolo, F. A novel framework for the design of change-detection systems for very-high-resolution remote sensing images. Proc. IEEE 2013, 101, 609-630
3. Hachicha, S.; Chaabane, F. On the SAR change detection review and optimal decision. Int. J. Remote Sens. 2014, 35, 1693-1714
4. Giustarini, L.; Hostache, R.; Matgen, P.; Schumann, G.J.-P.; Bates, P.D.; Mason, D.C. A change detection approach to flood mapping in urban areas using TerraSAR-X. IEEE Trans. Geosci. Remote Sens. 2013, 51, 2417-2430
5. Conradsen, K.; Nielsen, A.A.; Schou, J.; Skriver, H. A test statistic in the complex wishart distribution and its application to change detection in polarimetric SAR data. IEEE Trans. Geosci. Remote Sens. 2003, 41, 4-19
6. Zhao, L.; Yang, J.; Li, P.; Zhang, L. Seasonal inundation monitoring and vegetation pattern mapping of the Erguna floodplain by means of a RADARSAT-2 fully polarimetric time series. Remote Sens. Environ. 2014, 152, 426-440
7. Zhao, J.Q.; Yang, J.; Li, P.X.; Liu, M.Y.; Shi, Y.M. An Unsupervised Change Detection Based on Test Statistic and KI from Multi-temporal and Full Polarimetric SAR Images. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2016, XLI-B7, 611-615
8. Sun, W.; Shi, L.; Yang, J.; Li, P. Building Collapse Assessment in Urban Areas Using Texture Information From Postevent SAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2016, 9, 3792-3808
9. Zhao, L.; Yang, J.; Li, P.; Zhang, L.; Shi, L.; Lang, F. Damage assessment in urban areas using post-earthquake airborne PolSAR imagery. Int. J. Remote Sens. 2013, 34, 8952-8966
10. Zhao, L.; Yang, J.; Li, P.; Zhang, L. Characteristics Analysis and Classification of Crop Harvest Patterns by Exploiting High-Frequency MultiPolarization SAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2014, 7, 3773-3783
11. Rignot, E.J.; van Zyl, J.J. Change detection techniques for ERS-1 SAR data. IEEE Trans. Geosci. Remote Sens. 1993, 31, 896-906
12. Bazi, Y.; Bruzzone, L.; Melgani, F. An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images. IEEE Trans. Geosci. Remote Sens. 2005, 43, 874-887
13. Moser, G.; Serpico, S.B. Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery. IEEE Trans. Geosci. Remote Sens. 2006, 44, 2972-2982
14. Sumaiya, M.; Kumari, R.S.S. Logarithmic Mean-Based Thresholding for SAR Image Change Detection. IEEE Geosci. Remote Sens. Lett. 2016, 13, 1726-1728
15. Liu, M.; Zhang, H.; Wang, C.; Wu, F. Change detection of multilook polarimetric SAR images using heterogeneous clutter models. IEEE Trans. Geosci. Remote Sens. 2014, 52, 7483-7494
16. Carincotte, C.; Derrode, S.; Bourennane, S. Unsupervised change detection on SAR images using fuzzy hidden Markov chains. IEEE Trans. Geosci. Remote Sens. 2006, 44, 432-441
17. Bouyahia, Z.; Benyoussef, L.; Derrode, S. Change detection in synthetic aperture Radar images with a sliding hidden Markov chain model. J. Appl. Remote Sens. 2008, 2, 513-526
18. Inglada, J.; Mercier, G. A new statistical similarity measure for change detection in multitemporal SAR images and its extension to multiscale change analysis. IEEE Trans. Geosci. Remote Sens. 2007, 45, 1432-1445
19. Akbari, V.; Anfinsen, S.N.; Doulgeris, A.P.; Eltoft, T.; Moser, G.; Serpico, S.B. Polarimetric SAR Change Detection With the Complex Hotelling-Lawley Trace Statistic. IEEE Trans. Geosci. Remote Sens. 2016, 54, 3953-3966
20. Yousif, O.; Ban, Y. Object-Based Change Detection in Urban Areas Using Multitemporal High Resolution SAR Images with Unsupervised Thresholding Algorithms; Multitemporal Remote Sensing; Springer: Berlin, Germany, 2016; pp. 89-105
21. Yetgin, Z. Unsupervised change detection of satellite images using local gradual descent. IEEE Trans. Geosci. Remote Sens. 2012, 50, 1919-1929
22. Bunch, J.R.; Fierro, R.D. A constant-false-alarm-rate algorithm. Linear Algebra Appl. 1992, 172, 231-241
23. Otsu, N. A threshold selection method from gray-level histograms. Automatica 1975, 11, 23-27
24. Kapur, J.N.; Sahoo, P.K.; Wong, A.K.C. A new method for gray-level picture thresholding using the entropy of the histogram. Comput. Vis. Graph. Image Process. 1985, 29, 140
25. Kittler, J.; Illingworth, J. Minimum error thresholding. Pattern Recognit. 1986, 19, 41-47
26. Jansing, E.D.; Albert, T.A.; Chenoweth, D.L. Two-dimensional entropic segmentation. Pattern Recognit. Lett. 1999, 20, 329-336
27. Qi, Z.; Yeh, A.G.-O.; Li, X.; Zhang, X. A three-component method for timely detection of land cover changes using polarimetric SAR images. ISPRS J. Photogramm. Remote Sens. 2015, 107, 3-21
28. Rasmussen, C.E. The infinite Gaussian mixture model. Adv. Neural Inf. Proc. Syst. 2000, 10, 554-560
29. Greenspan, H.; Ruf, A.; Goldberger, J. Constrained Gaussian mixture model framework for automatic segmentation of MR brain images. IEEE Trans. Med. Imaging 2006, 25, 1233-1245
30. Yang, W.; Yang, X.; Yan, T.; Song, H.; Xia, G. Region-Based Change Detection for Polarimetric SAR Images Using Wishart Mixture Models. IEEE Trans. Geosci. Remote Sens. 2016, 54, 6746-6756
31. Lang, F.; Yang, J.; Li, D.; Zhao, L.; Shi, L. Polarimetric SAR image segmentation using statistical region merging. IEEE Geosci. Remote Sens. Lett. 2014, 11, 509-513
32. Nock, R.; Nielsen, F. Statistical region merging. IEEE Trans. Pattern Anal. Mach. Intell. 2004, 26, 1452-1458
33. Nock, R. Fast and reliable color region merging inspired by decision tree pruning. In Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Kauai, HI, USA, 8-14 December 2001
34. Celik, T.; Ma, K.-K. Multitemporal Image Change Detection Using Undecimated Discrete Wavelet Transform and Active Contours. IEEE Trans. Geosci. Remote Sens. 2011, 49, 706-716
35. Zivkovic, Z. Improved adaptive Gaussian Mixture Model for Background Subtraction. In Proceedings of the IEEE 17th International Conference on Pattern Recognition, Cambridge, UK, 26 August 2004
36. Dempster, A.P.; Laird, N.M.; Rubin, D.B. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B (Methodol.) 1977, 39, 1-38
37. Bruzzone, L.; Prieto, D.F. A minimum-cost thresholding technique for unsupervised change detection. Int. J. Remote Sens. 2000, 21, 3539-3544
38. Ketchen, D.J., Jr.; Shook, C.L. The application of cluster analysis in strategic management research: An analysis and critique. Strateg. Manag. J. 1996, 17, 441-458
39. Goutte, C.; Toft, P.; Rostrup, E.; Nielsen, F.; Hansen, L.K. On clustering fMRI time series. Neuroimage 1999, 9, 298-310
40. Pham, M.-T.; Mercier, G.; Michel, J. Change Detection between SAR Images Using a Pointwise Approach and Graph Theory. IEEE Trans. Geosci. Remote Sens. 2016, 54, 2020-2032
41. Stehman, S.V. Selecting and interpreting measures of thematic classification accuracy. Remote Sens. Environ. 1997, 62, 77-89
42. Zhao, J.; Yang, J.; Lu, Z.; Li, P.; Liu, W.; Yang, L. A Novel Method of Change Detection in Bi-Temporal PolSAR Data Using a Joint-Classification Classifier Based on a Similarity Measure. Remote Sens. 2017, 9, 846