Synthetic aperture radar image segmentation by a detail preserving markov random field approach

IEEE Transactions on Geoscience and Remote Sensing

Volumn 35, Issue 4, 1997, Pages 844-857

  Smits, Paul C ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MARKOV PROCESSES; OPTIMIZATION; RADAR IMAGING; SYNTHETIC APERTURE RADAR;

BAYESIAN INFERENCE; MARKOV RANDOM FIELDS (MRF);

REMOTE SENSING;

EID: 0031186538     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.602527     Document Type: Article

References (27)

1. P. A. Kelly H. Derin and K. D. Hartt Adaptive segmentation of speckled images using a hierarchical random field model in IEEE Trans. Acoust Speech Signal Processing vol. 36 pp. 1628-1641 Oct. 1988.
2. E. Rignot and R. Chellappa Segmentation of polarimetric synthetic aperture radar data IEEE Trans. Image Processing vol. 1 pp. 281 -300 July 1992.
3. A. H. Schistad Solberg A. K. Jain and T. Taxt Fusion of multitemporal satellite images and GIS data for land-use classification IEEE Trans. Geosci. Remote Sensing vol. 32 pp. 768-778 July 1994.
4. C. S. Regazzoni F. Arduini and G. Vernazza A multilevel GMRF-based approach to image segmentation and restoration Signal Processing vol. 34 pp. 43-67 1993.
5. B. S. Manjunath T. Simchony and R. Chellappa Stochastic and deterministic networks for texture segmentation IEEE Trans. Acoust Speech Signal Processing vol. 38 pp. 1039-1049 June 1990.
6. D. K. Panjwani and G. Healey Markov random field models for unsupervised segmentation of textured color images IEEE Trans. Patt. Anal. Machine Intell.. vol. 17 pp. 939-954 Oct. 1995.
7. D. Geman and B. Jedynak An active testing model for tracking roads in satellite images IEEE Trans. Patt. Anal. Machine Intell. vol. 18 pp. 1-14 Jan. 1996.
8. P. Kelly and F. Chen Iterative segmentation algorithms using morphological operations in Proc. IEEE Int. Conf. Acoust. Speech Signal Processing Apr. 1993 pp. v49-v52.
9. P. Ferez and F. Heitz Restriction of a Markov random field on a graph and multiresolution statistical image modeling IEEE Trans. Inform. Theory vol. 42 pp. 180-190 Jan. 1996.
10. C. S. Regazzoni V. Murino and G. Vernazza Distributed propagation of a-priori constraints in a Bayesian network of Markov random fields Proc. Inst. Elec. Eng. vol. 140 no. 1 pp. 46-55 Feb. 1993.
11. J. W. Modestino and J. Zhang A Markov random field model-based approach to image interpretation in Proc. IEEE Int. Conf. Acoust. Speech Signal Processing Glasgow U.K. May 1989 pp. 458-465.
12. G. R. Cross and A. K. Jain Markov random field texture models IEEE Trans. Patt. Anal. Machine Intell. vol. PAMI-5 pp. 25-39 Jan. 1983.
13. P. A. Devijver and M. Dekesel Digital image modeling using Pickard random fields Traitement du Signal vol. 5 no. 5 pp. 131-150.
14. G. L. Gimel'farb and A. V. Zalesny Probabilistic models of digital region maps based on Markov random fields with short- and long-range interaction Patt. Recogn. Lett. vol. 14 pp. 789-797 Oct. 1993.
15. S. Geman and D. Geman Stochastic relaxation Gibbs distributions and the Bayesian restoration of images IEEE Trans. Pattern Anal. Machine Intell. vol. PAMI-6 pp. 721-741 Nov. 1984.
16. R. M. Haralick and L. G. Shapiro Computer and Robot Vision vol. 2. Reading MA: Addison-Wesley 1993 pp. 493-533.
17. D. P. Mandai C. A. Murthy and S. K. Pal Analysis of IRS imagery for detecting man-made objects with a multivalued recognition system IEEE Trans. Systems Man Cybern. vol. 26 pp. 241-247 Mar. 1996.
18. P. C. Smits S. Dellepiane and S. B. Serpico Markov random field based image segmentation with adaptive neighborhoods to the detection of fine structures in SAR data in Proc. Int. Symp. Geosci. Remote Sensing May 1996 pp. 714-716.
19. P. C. Smits and S. Dellepiane Information fusion in a Markov random field based image segmentation approach using adaptive neighborhoods in Proc. Int. Conf. Patt. Recogn. Vienna Austria Aug. 1996 pp. 570-575.
20. C. S. Regazzoni Global perceptual reinforcement of straight segments in Time-Varying Image Processing and Moving Object Recognition vol. 3. Firenze: Elsevier 1994 pp. 95-102.
21. J. Ton J. Sticken and A. K. Jain Knowledge-based segmentation of landsat images IEEE Trans. Geosci. Remote Sensing vol. 29 pp. 222-232 Mar. 1991.
22. T. Kanungo M. Y. Jaisimha J. Palmer and R. M. Haralick A methodology for quantitative performance evaluation of detection algorithms IEEE Trans. Image Processing vol. 4 pp. 1667-1674 Dec. 1995.
23. P. C. Smits and S. Dellepiane Data fusion in a Markov random field based image segmentation approach in Proc. Conf. Image Signal Processing Remote Sensing Sept. 23-27 1996.
24. F. S. Cohen and D. B. Cooper Simple parallel hierarchical and relaxation algorithms for segmenting noncausal Markovian random fields IEEE Trans. Patt. Anal. Machine Intell. vol. PAMI-9 pp. 195-219 Mar. 1987.
25. S. V. Stehman Estimating the Kappa coefficient and its variance under stratified random sampling Photogramm. Eng. Remote Sensing vol. 62 no. 4 pp. 401-407 1996.
26. A. Freeman J. Villasenor J. D. Klein P. Hoogeboom and J. Groot On the use of multi-frequency and polarimetric radar backscatter features for classification of agricultural crops Int. J. Remote Sensing vol. 15 no. 9 pp. 1799-1812 1994.
27. K. S. Chen W. P. Huang D. H. Tsay and F. Amar Classification of multifrequency polarimetric SAR imagery using a dynamic learning neural network IEEE Trans. Geosci. Remote Sensing vol. 34 pp. 814-820 May 1996.