Unsupervised change detection methods for remote sensing images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4541, Issue , 2002, Pages 211-222

  Melgani, Farid ^a   Moser, Gabriele ^a   Serpico, Sebastiano B ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; OPTIMIZATION; PARAMETER ESTIMATION; REMOTE SENSING; VECTORS;

REMOTE SENSING IMAGES;

IMAGE ANALYSIS;

EID: 0036397203     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.454155     Document Type: Conference Paper

References (17)

1. nd Edition. New York: Academic Press, 1990, pp. 26-34.
2. nd Edition. New York: Wiley, 2001, pp. 117-121.
3. A. Singh, "Digital change detection techniques using remotely-sensed data", Int. J. Remote Sensing, vol. 10, n. 6, pp. 989-1003, 1989.
4. J. Kittler and J. Illingworth, "Minimum error thresholding", Pattern Recognition, vol. 19, pp. 41-47, 1986.
5. L.K. Huang and M.J. Wang, "Image thresholding by minimizing the measures of fuzziness", Pattern Recognition, vol. 28, pp. 41-51, 1995.
6. A.P. Dempster, N.M. Laird, and D.B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm", J. Royal Statist. Soc., vol. 19, n. 1, pp. 1-38, 1977.
7. T.K. Moon, "The expectation-maximization algorithm", Signal Processing Mag., vol. 13, n. 6, pp. 47-60, 1996.
8. B.M. Shahshahani and D.A. Landgrebe, "The effect of unlabeled samples in reducing the small size problem and mitigating the Hughes phenomenon", IEEE Trans. Geosci. Remote Sensing, vol. 32, pp. 1087-1095, 1994.
9. L. Bruzzone and D.F. Prieto, "Automatic analysis of the difference image for unsupervised change detection", IEEE Trans. on Geoscience and Remote Sensing, vol. 38, pp. 1171-1182, 2000.
10. L. Bruzzone, S.B. Serpico, "An iterative technique for the detection of land-cover transitions in multitemporal remote sensing images", IEEE Trans. Geosci. Remote Sensing, vol. 35, pp. 858-867, 1997.
11. L. Bruzzone, D.F. Prieto, S.B. Serpico, "A neural-statistical approach to multitemporal and multisource remote-sensing image classification", IEEE Trans. Geosci. Remote Sensing, vol. 37, pp. 1350-1359, 1999.
12. Z. Chi, H. Yan, T. Pham, Fuzzy algorithms: with applications to image processing and pattern recognition, Singapore: World Scientific Publishing, 1996, pp. 45-84.
13. K. Pal, A. Rosenfeld, "Image enhancement and thresholding by optimization of fuzzy compactness", Pattern Recognition Letters, vol 7, pp. 77-86, 1888.
14. N. Otsu, "A threshold selection method from gray-level histogram", IEEE Trans. on Syst., Man., Cybern., vol. SMC-9, pp. 62-66, 1979.
15. Q. Jackson, D. Landgrebe, "An adaptive classifier design for high-dimensional data analysis with a limited training data set", IEEE Trans. Geosci. Remote Sensing, in press (this paper can be downloaded from http://dynam.ecn.purdue.edu/~landgreb/publications.html).
16. nd edition, 1984.
17. Y. Delignon, A. Marzouki, W. Pieczynski, "Estimation of generalized mixtures and its application in image segmentation", IEEE Trans. Image Processing, vol. 6, pp. 1364-1374, 1997.