SAR image segmentation through information-theoretic heterogeneity features and tree-structured markov random fields

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 4, Issue , 2005, Pages 2803-2806

  Aiazzi, B ^a   Baronti, S ^a   Alparone, L ^b   Cuozzo, G ^c   D'Elia, C ^c   Schirinzi, G ^c  

^a CNR   (Italy)

^b UNIVERSITY OF FLORENCE   (Italy)

^c UNIVERSITY OF CASSINO AND SOUTHERN LAZIO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); INFORMATION THEORY; MARKOV PROCESSES; RANDOM PROCESSES; SYNTHETIC APERTURE RADAR; TREES (MATHEMATICS);

CLASSIFICATION ACCURACY; CONTENT EXTRACTION; LANDCOVERS; POLARIMETRIC SAR OBSERVATIONS;

IMAGE SEGMENTATION;

EID: 33745726775     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2005.1525650     Document Type: Conference Paper

References (5)

1. B. Aiazzi, L. Alparone, and S. Baronti, "Information-theoretic heterogeneity measurement for SAR imagery," IEEE Trans. Geosci. Remote Sensing, vol. 43, no. 3, pp. 619-624, Mar. 2005.
2. C. D'Elia, G. Poggi, and G. Scarpa, "A tree-structured Markov random field model for Bayesian image segmentation," IEEE Trans. Image Processing, vol. 12, no. 10, pp. 1259-1273, Oct. 2000.
3. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distribution, and the Bayesian restoration of image," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-4, pp. 721-741, Nov. 1984.
4. A. Lopès, R. Touzi, and E. Nezry, "Adaptive speckle filters and scene heterogeneity," IEEE Trans. Geosci. Remote Sensing, vol. 28, no. 6, pp. 992-1000, Nov. 1990.
5. R. E. Blahut, Principles and Practice of Information Theory, Addison-Wesley, Reading, MA, 1987.