Method for unsupervised change detection in satellite images

Electronics Letters

Volumn 46, Issue 9, 2010, Pages 624-626

  Celik, T ^a,b  

^a BIOINFORMATICS INSTITUTE   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

A-PRIORI PROBABILITIES; BAYESIAN INFERENCING; CHANGE DETECTION; DATA DISTRIBUTION; DIFFERENCE IMAGES; GAUSSIAN MIXTURE MODEL; SATELLITE IMAGES; TIME INSTANCES; UNCHANGED PIXELS; UNSUPERVISED CHANGE DETECTION;

BLIND SOURCE SEPARATION; IMAGE SEGMENTATION; MAGNETOSTRICTIVE DEVICES; SATELLITES; SIGNAL DETECTION;

PIXELS;

EID: 77952405167     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el.2010.0808     Document Type: Article

References (4)

1. Bruzzone, L., and Prieto, D.: ' Automatic analysis of the difference image for unsupervised change detection ', IEEE Trans. Geosci. Remote Sens., 2000, 38, (3), p. 1171-1182 0196-2892
2. Celik, T., and Ma, K.-K.: ' Unsupervised change detection for satellite images using dual-tree complex wavelet transform ', IEEE Trans. Geosci. Remote Sens., 2010, 48, (3), p. 1199-1210 0196-2892
3. Redner, R.A., and Walker, H.F.: ' Mixture densities, maximum likelihood and the EM algorithm ', SIAM Review, 1984, 26, (2), p. 195-239
4. Figueiredo, M., and Jain, A.: ' Unsupervised learning of finite mixture models ', IEEE Trans. Pattern Anal. Mach. Intell., 2002, 24, (3), p. 381-396 0162-8828