Segmentation of SAR imagery using the Gaussian Markov random field model

International Conference on Signal Processing Proceedings, ICSP

Volumn 3, Issue , 2004, Pages 1977-1980

  Yang, Yong ^a   Cao, Yongfeng ^a   Sun, Hong ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Gaussian Markov random field (GMRF); Region merging; Segmentation of SAR imagery; Watershed process

Indexed keywords

ALGORITHMS; FUNCTIONS; IMAGE ANALYSIS; IMAGE SEGMENTATION; MARKOV PROCESSES; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBABILITY; STATISTICAL METHODS; VECTORS; GAUSSIAN NOISE (ELECTRONIC); SIMULATED ANNEALING;

GAUSSIAN MARKOV RANDOM FIELD; REGION MERGING; SEGMENTATION OF SAR IMAGERY; WATERSHED PROCESSES; GAUSSIAN MARKOV RANDOM FIELD (GMRF) MODELS;

SYNTHETIC APERTURE RADAR;

EID: 7644222076     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Chellappa, R., Chatterjee, S.S and Bagdazian, R., 1985, Texture synthesis and compression using Gaussian-Markov random field models. IEEE Transactions on Systems, Man and Cybernetics, 15, 298-303.
2. Dong, Y., Forster, B.C. and Milne, A.K., 1997, Segmentation of radar imagery using Gaussian Markov random field models and wavelet transform techniques. Proceedings of IGARSS 97 (New Jersey: IEEE Publications), 4, 2054-2056.
3. D. K. Panjwani and G. Healey, Markov random field models for unsupervised segmentation of textured color images, IEEE Trans. Pattern Anal. Machine Intell., vol. 17, pp. 939-954, Oct. 1995.
4. Y. Dong, B. C. Forster, and A. K. Milne, Segmentation of radar imagery using Gaussian Markov random field model, Int. J. Remote Sensing, vol. 20, no. 8, pp. 1617-1639, 1999.
5. Grimaud, M., A new measure of contrast: Dynamics. In Proc. Image Algebra and Morphological Processing III, Vol. SPIE 1769, San Dicgo, pp. 292-305, July 1992.