Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 44, Issue 10, 2006, Pages 2972-2982

  Moser, Gabriele ^a   Serpico, Sebastiano B ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

Change detection; Kittler and illingworth method; Method of log cumulants (MoLC); Parametric density estimation; Synthetic aperture radar (SAR); Thresholding

Indexed keywords

CHANGE DETECTION; DENSITY ESTIMATION; KITTLER AND ILLINGWORTH METHOD; METHOD OF LOG-CUMULANTS (MOLC); THRESHOLDING; KITTLER AND ILLINGWORTH METHODS; METHOD OF LOG CUMULANTS (MOLC); PARAMETRIC DENSITY ESTIMATIONS;

RADAR IMAGING; SIGNAL DETECTION;

SYNTHETIC APERTURE RADAR;

EID: 34247344495     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2006.876288     Document Type: Article

References (35)

1. C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar Images. Norwood, MA: Artech House, 1998.
2. E. S. Kasischke, J. M. Melack, and M. C. Dobson, "The use of imaging radars for ecological applications - A review," Remote Sens. Environ., vol. 59, no. 2, pp. 141-156, Feb. 1997.
3. J. E. S. Fransson, F. Walter, K. Blennow, A. Gustavsson, and L. M. H. Ulander, "Detection of storm-damaged forested areas using airborne CARABAS-II VHF SAR image data," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 10, pp. 2170-2175, Oct. 2002.
4. F. Siegert and A. A. Hoffmann, "The 1998 forest fires in East Kalimantan (Indonesia): A quantitative evaluation using high resolution ERS-2 SAR images and NOAA AVHRR hotspot data," Remote Sens. Environ., vol. 72, no. 1, pp. 64-67, Apr. 2000.
5. E. J. M. Rignot and J. J. Van Zyl, "Change detection techniques for ERS-1 SAR data," IEEE Trans. Geosci. Remote Sens., vol. 31, no. 4, pp. 896-906, Jul. 1993.
6. R. G. White, "Change detection in SAR imagery," Int. J. Remote Sens., vol. 12, no. 2, pp. 339-360, 1990.
7. X. Li and A. G. Yeh, "Multitemporal SAR images for monitoring cultivation systems using case-based reasoning," Remote Sens. Environ., vol. 90, no. 4, pp. 524-534, Apr. 2004. (Pubitemid 38587571)
8. L. Bruzzone, D. F. Prieto, and S. B. Serpico, "A neural-statistical approach to multitemporal and multisource remote-sensing image classification," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1350-1359, May 1999.
9. F. Melgani, "Classification of multitemporal remote-sensing images by a fuzzy fusion of spectral and spatio-temporal contextual information," Int. J. Pattern Recognit. Artif. Intell., vol. 18, no. 2, pp. 143-156, 2002.
10. F. Melgani and S. B. Serpico, "A statistical approach to the fusion of the spectral and spatio-temporal contextual information for the classification of remote sensing images," Pattern Recognit. Lett., vol. 23, no. 9, pp. 1053-1061, Jul. 2002. (Pubitemid 34476149)
11. K. Conradsen, A. Aasbjerg Nielsen, J. Schou, and H. Skriver, "A test statistic in the complex Wishart distribution and its application to change detection in polarimetric SAR data," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 1, pp. 4-19, Jan. 2003.
12. P. Lombardo and T. Macrí Pellizzeri, "Maximum likelihood signal processing techniques to detect a step pattern of change in multitemporal SAR images," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 4, pp. 853-870, Apr. 2002. (Pubitemid 34741659)
13. A. Singh, "Digital change detection techniques using remotely-sensed data," Int. J. Remote Sens., vol. 10, no. 6, pp. 989-1003, 1989.
14. S. C. Liew, S.-P. Kam, T-P. Tuong, P. Chen, V. Q. Minh, and H. Lim, "Application of multitemporal ERS-1 synthetic aperture radar in delineating rice cropping systems in the Mekong River Delta, Vietnam," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 5, pp. 1412-1420, Sep. 1998.
15. W Dierking and H. Skriver, "Change detection for thematic mapping by means of airborne multitemporal polarimetric SAR imagery," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 3, pp. 618-636, Mar. 2002. (Pubitemid 34692239)
16. J. Kittler and J. Illingworth, "Minimum error thresholding," Pattern Recognit., vol. 19, no. 1, pp. 41-47, 1986.
17. F. Melgani, G. Moser, and S. B. Serpico, "Unsupervised change detection methods for remote sensing images," Opt. Eng., vol. 41, no. 12, pp. 3288-3297, Dec. 2002.
18. G. Moser, F. Melgani, and S. B. Serpico, "Advances in unsupervised change detection," in Frontiers of Remote Sensing Information Processing, C. H. Chen, Ed. Singapore: World Scientific, 2003.
19. G. Moser, J. Zerubia, and S. B. Serpico, "SAR amplitude probability density function estimation based on a generalized Gaussian model," IEEE Trans. Image Process., vol. 15, no. 6, pp. 1429-1442, Jun. 2006. (Pubitemid 43778922)
20. C. Tison, J.-M. Nicolas, F. Tupin, and H. Maitre, "A new statistical model for Markovian classification of urban areas in high-resolution SAR images," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 10, pp. 2046-2057, Oct. 2004.
21. 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.
22. H. L. Van Trees, Detection, Estimation and Modulation Theory, vol. 1. Hoboken, NJ: Wiley, 1968.
23. A. Papoulis, Probability, Random Variables, and Stochastic Processes, 3rd ed. New York: McGraw-Hill, 1991.
24. J. Villasenor, D. Fatland, and L. Hinzman, "Change detection on Alaska's north slope using repeat-pass ERS-1 SAR images," IEEE Trans. Geosci. Remote Sens., vol. 31, no. 1, pp. 227-236, Jan. 1993.
25. J. S. Lee, K. W. Hoppel, S. A. Mango, and A. R. Miller, "Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery," IEEE Trans. Geosci. Remote Sens., vol. 32, no. 5, pp. 1017-1028, Sep. 1994.
26. W. Rudin, Principles of Mathematical Analysis, 2nd ed. New York: McGraw-Hill, 1976.
27. I. Sneddon, The Use of Integral Transforms. New York: McGraw-Hill, 1972.
28. G. Moser, J. Zerubia, and S. B. Serpico, "Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 1, pp. 188-200, Jan. 2006. (Pubitemid 43146077)
29. J. M. Nicolas, "Introduction aux statistiques de deuxième espèce: Application aux lois d'images RSO (Introduction to second kind statistics: Applications to SAR images laws)," ENST, Paris, France, Res. Rep. 2002D001, Feb. 2002, (in trench).
30. E. E. Kuruoglu and J. Zerubia, "Modeling SAR images with a generalization of the Rayleigh distribution," IEEE Trans. Image Process., vol. 13, no. 4, pp. 527-533, Apr. 2004.
31. W H. Press, S. A. Teukolsky, W. T. Wetterling, and B. P. Flannery, Numerical Recipes in C. Cambridge, U.K.: Cambridge Univ. Press, 2002.
32. A. Tesei and C. S. Regazzoni, "HOS-based generalized noise PDF models for signal detection optimization," Signal Process., vol. 65, no. 2, pp. 267-281, Mar. 1998. (Pubitemid 128408860)
33. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data and the EM algorithm," J. R. Statist. Soc., vol. 39, no. 1, pp. 1-38, 1977.
34. G. Celeux, D. Chauveau, J. Diebolt, "On stochastic versions of the EM algorithm," INRIA, Le Chesnay, France, Res. Rep. 2514, Mar. 1995. [Online]. Available: http://www.inria.fr/rrrt/rr-2514.html
35. Y Delignon, A. Marzouki, and W Pieczynski, "Estimation of generalized mixtures and its application to image segmentation," IEEE Trans. Image Process., vol. 6, no. 10, pp. 1364-1375, Oct. 2001.