Compound deterministic pseudo-annealing Markov random field model for contextual classification of remotely sensed imagery

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3500, Issue , 1998, Pages 435-446

  Chitroub, Salim ^a   Khedam, Radja ^a   Belhadj, H ^a   Sansal, Boualem ^a  

^a UNIVERSITY OF SCIENCES AND TECHNOLOGY HOUARI BOUMEDIENE   (Algeria)

Author keywords

Bayesian Framework; Contextual Classification; Image Analysis; Iterated Conditional Modes (1CM); Markov Random Field (MRF); Multispectral Image; Optimization; Remote Sensing; Simulated Annealing (SA).; Supervised Classification

Indexed keywords

ANNEALING; IMAGE ANALYSIS; IMAGE SEGMENTATION; MARKOV PROCESSES; OPTIMIZATION; REMOTE SENSING; SIMULATED ANNEALING; STRUCTURAL FRAMES;

BAYESIAN FRAMEWORKS; CONTEXTUAL CLASSIFICATION; ITERATED CONDITIONAL MODES; MARKOV RANDOM FIELDS; MULTISPECTRAL IMAGES; SUPERVISED CLASSIFICATION;

IMAGE CLASSIFICATION;

EID: 84960908032     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.331891     Document Type: Conference Paper

References (17)

1. J. A. Richards, Introduction to remote sensing digital image analysis, Chapter 8, Part II, PP. 195-203, Spring-Verlag, Berlin, 1993
2. T. M. Lillesand and R. W. Kiefer, Remote Sensing andimage Interpretation, Chapter 10, PP. 690-705, Second Edition, John Wiley and Sons, New York, 1987
3. R. Harris, ,Contextual classification post-processing of Landsat data using probabilistic relaxation model", International Journal ofRemote Sensing, Vol. 6, No. 6, PP. 847-866, 1985
4. J. J. Van Zyl and C. F. Burnette, ,Bayesian classification of polarimetric SAR images using adaptive a priori probabilities", International Journal ofRemote Sensing, Vol. 13, No. 5, PP. 835-840, 1992
5. P. Cong &J. Howarth, ,The use of structural information for improving Land-cover classification accuracies at the rural-urban fringe", Photogrammetric Engineering and Remote sensing, Vol. 56, PP. 67-73, 1990
6. R. L. Ketting &A. Landgrebe, ,Classification of multispectral image data by Extraction and classification of Homogeneous Objects", IEEE Transactions on Geoscience Electronics, GE-14, PP. 19-26, 1976
7. J. D. McCauley and B. A. Engel, ,Comparison of scene segmentations: SMAP, ECHO, and maximum likelihood", IEEE Transactions on Geoscience and Remote Sensing, Vol. 33, No. 6, PP. 1313-1316, 1995
8. A. Zhang, R. M. Harralick and J. Campell, ,Multispectral image context classification using stochastic relaxation", iEEE Transactions on Systems Man, and Cybernetics, Vol. 20, N 1, PP. 126-140. 1990
9. A. Yonhong and P. H. Swain, ,Bayesian contextual classification based on modified M-Estimates and Markov random fields", IEEE Transactions on Geoscience and Remote Sensing, Vol. 34, N 1, PP. 67-75, 1996
10. A. H. Schistad solberg, T.Taxt and A.K. Jain, ,A Markov random field model for classification of multisource satellite imagery", IEEE Transactions on Geoscience and Remote Sensing, Vol. 34, N 1, PP. 100-113, 1996
11. X. Descombes, R. Morris, and J. Zerubia, ,Quelques ameliorations a la segmentation d'images bayésienne. Premiere Partie: modèlisation", Revue Traitement du Signal, Vol. 14, N . 4, PP. 371-382, 1997
12. S. El-Assad, A. Saad, and D. Barba, ,Segmentation markovienne vectorielle non supervisée d'images radar polarimdtriques", Revue Traitement dii Signal, Vol. 14, N . 4, PP. 405-421, 1997
13. Jachyun Park and Ludwik Kurz, ,Image enhancement using the modified 1CM method", IEEE Transactions on Image Processing, Vol. 5, N 5, PP. 795-771, 1996
14. J. Besag, ,Spatial interaction and the statistical analysis of lattice system", Journal of Royal Statistical Society, Ser. B, B-48, PP. 259-302, 1986
15. S. Geman and G. Geman, ,Stochastic relaxation, Gibbs distribution and the bayesian restoration of images", IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-6, PP. 721-741, 1984
16. J. Besag, ,Spatial interaction and the statistical analysis of lattice system", Journal of Royal Statistical Society, Ser. B, Vol. B-36, PP. 192-236, 1974
17. S. Hagarat-Mascle and D. Vidal-Madjar, ,Applications of simulated annealing to SAR image clustering and classification problems", International Journal of Remote Sensing, Vol. 17, N .9, PP. 1761-1776, 1996