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Volumn 45, Issue 11, 2012, Pages 4018-4033

Unsupervised multi-class segmentation of SAR images using fuzzy triplet Markov fields model

Author keywords

Fuzzy clustering; Fuzzy iterative conditional estimation; Fuzzy objective function; Fuzzy triplet Markov field (FTMF); Multi class segmentation; SAR image

Indexed keywords

FUZZY OBJECTIVE FUNCTION; ITERATIVE CONDITIONAL ESTIMATION; MULTI-CLASS; SAR IMAGES; TRIPLET MARKOV FIELDS;

EID: 84862198208     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2012.04.019     Document Type: Article
Times cited : (52)

References (49)
  • 1
    • 7044247421 scopus 로고    scopus 로고
    • A new statistical model for Markovian classification of urban areas in high-resolution SAR images
    • C. Tison, J.M. Nicolas, F. Tupin, and H. Maitre A new statistical model for Markovian classification of urban areas in high-resolution SAR images IEEE Transactions on Geoscience and Remote Sensing 42 10 2004 2046 2057
    • (2004) IEEE Transactions on Geoscience and Remote Sensing , vol.42 , Issue.10 , pp. 2046-2057
    • Tison, C.1    Nicolas, J.M.2    Tupin, F.3    Maitre, H.4
  • 4
    • 79957527724 scopus 로고    scopus 로고
    • Unsupervised multi-class segmentation of SAR images using triplet Markov fields modelsbased on edge penalty
    • Y. Wu, M. Li, and P. Zhang Unsupervised multi-class segmentation of SAR images using triplet Markov fields modelsbased on edge penalty Pattern Recognition Letters 32 2011 1532 1540
    • (2011) Pattern Recognition Letters , vol.32 , pp. 1532-1540
    • Wu, Y.1    Li, M.2    Zhang, P.3
  • 5
    • 84862156030 scopus 로고    scopus 로고
    • Fast algorithm based on triplet Markov fields for unsupervised multi-class segmentation of SAR images
    • Y. Wu, X. Wang, P. Xiao, L. Gan, C.Y. Liu, and M. Li Fast algorithm based on triplet Markov fields for unsupervised multi-class segmentation of SAR images Science in China Series F: Information Sciences 40 12 2011 1636 1645
    • (2011) Science in China Series F: Information Sciences , vol.40 , Issue.12 , pp. 1636-1645
    • Wu, Y.1    Wang, X.2    Xiao, P.3    Gan, L.4    Liu, C.Y.5    Li, M.6
  • 7
    • 0141905889 scopus 로고    scopus 로고
    • Texture analysis and classification of ERS SAR images for map updating of urban areas in the Netherlands
    • R.J. Dekker Texture analysis and classification of ERS SAR images for map updating of urban areas in the Netherlands IEEE Transactions on Geoscience and Remote Sensing 41 9 2003 1950 1958
    • (2003) IEEE Transactions on Geoscience and Remote Sensing , vol.41 , Issue.9 , pp. 1950-1958
    • Dekker, R.J.1
  • 9
    • 27744542536 scopus 로고    scopus 로고
    • Preserving boundaries for image texture segmentation using grey level co-occurring probabilities
    • DOI 10.1016/j.patcog.2005.07.010, PII S0031320305002992, Complexity Reduction
    • R. Jobanputra, and D.A. Clausi Preserving boundaries for image texture segmentation using grey level co-occurring probabilities Pattern Recognition 39 2006 234 245 (Pubitemid 41586092)
    • (2006) Pattern Recognition , vol.39 , Issue.2 , pp. 234-245
    • Jobanputra, R.1    Clausi, D.A.2
  • 10
    • 33947721148 scopus 로고    scopus 로고
    • Morphological texture features for unsupervised and supervised segmentations of natural landscapes
    • DOI 10.1109/TGRS.2006.890581
    • I. Epifanio, and P. Soille Morphological texture features for unsupervised and supervised segmentations of natural landscapes IEEE Transactions on Geoscience and Remote Sensing 45 4 2007 1074 1083 (Pubitemid 46504969)
    • (2007) IEEE Transactions on Geoscience and Remote Sensing , vol.45 , Issue.4 , pp. 1074-1083
    • Epifanio, I.1    Soille, P.2
  • 11
    • 0035425439 scopus 로고    scopus 로고
    • Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
    • DOI 10.1109/83.935033, PII S105771490106033X
    • A. Tsai, A.J. Yezzi, and A. Willsky Curve evolution implementation of the mumford-shah functional for image segmentation, denoising, interpolation, and magnification IEEE Transactions on Image Processing 10 8 2001 1169 1186 (Pubitemid 32732678)
    • (2001) IEEE Transactions on Image Processing , vol.10 , Issue.8 , pp. 1169-1186
    • Tsai, A.1    Yezzi Jr., A.2    Willsky, A.S.3
  • 12
    • 59249103722 scopus 로고    scopus 로고
    • A narrow band graph partitioning method for skin lesion segmentation
    • X.J. Yuan, N. Situ, and G. Zouridakis A narrow band graph partitioning method for skin lesion segmentation Pattern Recognition 42 2009 1017 1028
    • (2009) Pattern Recognition , vol.42 , pp. 1017-1028
    • Yuan, X.J.1    Situ, N.2    Zouridakis, G.3
  • 13
    • 0031248959 scopus 로고    scopus 로고
    • Estimation of generalized mixtures and its application in image segmentation
    • PII S1057714997070267
    • Y. Delignon, A. Marzouki, and W. Pieczynski Estimation of generalized mixture and its application in image segmentation IEEE Transactions on Image Processing 6 10 1997 1364 1375 (Pubitemid 127766396)
    • (1997) IEEE Transactions on Image Processing , vol.6 , Issue.10 , pp. 1364-1375
    • Delignon, Y.1    Marzouki, A.2    Pieczynski, W.3
  • 15
    • 36348971282 scopus 로고    scopus 로고
    • A multiple conditional random fields ensemble model for urban area detection in remote sensing optical images
    • DOI 10.1109/TGRS.2007.907109
    • P. Zhong, and R.S. Wang A multiple conditional random fields ensemble model for urban area detection in romote sensing optical images IEEE Transactions on Geoscience and Remote Sensing 45 12 2007 3978 3988 (Pubitemid 350157834)
    • (2007) IEEE Transactions on Geoscience and Remote Sensing , vol.45 , Issue.12 , pp. 3978-3988
    • Zhong, P.1    Wang, R.2
  • 21
    • 27744456278 scopus 로고    scopus 로고
    • MAP estimation via agreement on trees: Message-passing and linear programming
    • DOI 10.1109/TIT.2005.856938
    • M. Wainwright, T. Jaakkola, and A. Willsky Map estimation via agreement on tress: message-passing and linear programming IEEE Transactions on Information Theory 51 11 2005 3697 3717 (Pubitemid 41622574)
    • (2005) IEEE Transactions on Information Theory , vol.51 , Issue.11 , pp. 3697-3717
    • Wainwright, M.J.1    Jaakkola, T.S.2    Willsky, A.S.3
  • 23
    • 31344481921 scopus 로고    scopus 로고
    • Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation
    • DOI 10.1109/TGRS.2005.859349
    • G. Moser, J. Zerubia, and S. Serpico Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation IEEE Transactions on Geoscience and Remote Sensing 44 1 2006 188 200 (Pubitemid 43146077)
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.1 , pp. 188-200
    • Moser, G.1    Zerubia, J.2    Serpico, S.B.3
  • 24
    • 33947218847 scopus 로고    scopus 로고
    • Combining Monte Carlo and mean-field-like methods for inference in hidden Markov random fields
    • DOI 10.1109/TIP.2006.891045
    • F. Forbes, and G. Fort Combining Monte Carlo and mean-field-like methods for inference in hidden Markov random field IEEE Transactions on Image Processing 16 3 2007 824 837 (Pubitemid 46431977)
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.3 , pp. 824-837
    • Forbes, F.1    Fort, G.2
  • 25
    • 24944572607 scopus 로고    scopus 로고
    • Supervised segmentation of remote sensing images based on a tree-structured MRF model
    • DOI 10.1109/TGRS.2005.852163
    • G. Poggi, G. Scarpa, and J. Zerubia Supervised segmentation of remote sensing images based on a tree-structured MRF model IEEE Transactions on Geoscience and Remote Sensing 43 8 2005 1901 1911 (Pubitemid 41329037)
    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.8 , pp. 1901-1911
    • Poggi, G.1    Scarpa, G.2    Zerubia, J.B.3
  • 26
    • 34447285018 scopus 로고    scopus 로고
    • Unsupervised statistical segmentation of nonstationary images using triplet Markov fields
    • DOI 10.1109/TPAMI.2007.1059
    • D. Benboudjema, and W. Pieczynski Unsupervised statistical segmentation of nonstationary images using triplet Markov fields IEEE Transactions on Pattern Analysis and Machine Intelligence 29 8 2007 1367 1378 (Pubitemid 47040436)
    • (2007) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.29 , Issue.8 , pp. 1367-1378
    • Benboudjema, D.1    Pieczynski, W.2
  • 27
    • 23844503626 scopus 로고    scopus 로고
    • Unsupervised image segmentation using triplet Markov fields
    • DOI 10.1016/j.cviu.2005.04.003, PII S1077314205000470
    • D. Benboudjema, and W. Pieczynski Unsupervised image segmentation using triplet Markov fields Computer Vision and Image Understanding 99 3 2005 476 498 (Pubitemid 41162467)
    • (2005) Computer Vision and Image Understanding , vol.99 , Issue.3 , pp. 476-498
    • Benboudjema, D.1    Pieczynski, W.2
  • 29
    • 36349035278 scopus 로고    scopus 로고
    • SAR sea-ice image analysis based on iterative region growing using semantics
    • Q.Y. Yu, and D.A. Clausi SAR sea-ice image analysis based on iterative region growing using semantics IEEE Transactions on Geoscience and Remote Sensing 45 12 2007 3918 3931
    • (2007) IEEE Transactions on Geoscience and Remote Sensing , vol.45 , Issue.12 , pp. 3918-3931
    • Yu, Q.Y.1    Clausi, D.A.2
  • 30
    • 0027308049 scopus 로고
    • The mean field theory in em procedures for Markov random fields
    • J. Zhang The mean field theory in EM procedures for Markov random fields IEEE Transactions on Image Processing 2 1 1993 27 40
    • (1993) IEEE Transactions on Image Processing , vol.2 , Issue.1 , pp. 27-40
    • Zhang, J.1
  • 37
    • 54349092861 scopus 로고    scopus 로고
    • A fuzzy clustering approach toward hidden Markov random field models for enhances spatially constrained image segmentation
    • S.P. Chatzis, and T.A. Varvarigou. A fuzzy clustering approach toward hidden Markov random field models for enhances spatially constrained image segmentation IEEE Transactions on Fuzzy System 16 5 2008 1351 1361
    • (2008) IEEE Transactions on Fuzzy System , vol.16 , Issue.5 , pp. 1351-1361
    • Chatzis, S.P.1    Varvarigou, T.A.2
  • 38
    • 0141613707 scopus 로고    scopus 로고
    • Hidden Markov random field model selection criteria based on mean field-like approximations
    • F. Forbes, and N. Peyrard Hidden Markov random field model selection criteria based on mean field-like approximations IEEE Transactions on Pattern Analysis and Machine Intelligence 25 9 2003 1089 1101
    • (2003) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.25 , Issue.9 , pp. 1089-1101
    • Forbes, F.1    Peyrard, N.2
  • 40
    • 33947179842 scopus 로고    scopus 로고
    • Fuzzy Markov random fields versus chains for multispectral image segmentation
    • DOI 10.1109/TPAMI.2006.228
    • F. Salzenstein, and C. Collet Fuzzy Markov random fields versus chains for multispectral image segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence 28 11 2006 1753 1767 (Pubitemid 46405424)
    • (2006) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.28 , Issue.11 , pp. 1753-1767
    • Salzenstein, F.1    Collet, C.2
  • 41
    • 3543098627 scopus 로고    scopus 로고
    • Robust image segmentation using FCM with spatial constraints based on new Kernel-induced distance measure
    • S.C. Chen, and D.Q. Zhang Robust image segmentation using FCM with spatial constraints based on new Kernel-induced distance measure IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics 34 4 2004 1907 1916
    • (2004) IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics , vol.34 , Issue.4 , pp. 1907-1916
    • Chen, S.C.1    Zhang, D.Q.2
  • 42
    • 63149099143 scopus 로고    scopus 로고
    • Unsupervised pixel classification in satellite imagery using multiobjective fuzzy clustering combined with SVM classifier
    • A. Mukhopadhyay, and U. Maulik Unsupervised pixel classification in satellite imagery using multiobjective fuzzy clustering combined with SVM classifier IEEE Transactions on Geoscience and Remote Sensing 47 4 2009 1132 1138
    • (2009) IEEE Transactions on Geoscience and Remote Sensing , vol.47 , Issue.4 , pp. 1132-1138
    • Mukhopadhyay, A.1    Maulik, U.2
  • 43
    • 0032202666 scopus 로고    scopus 로고
    • Quantitative comparison of the performance of SAR segmentation algorithms
    • PII S1057714998077483
    • R. Caves, S. Quegna, and R. White Quantitative comparison of the performance of SAR segmentation algorithms IEEE Transactions on Image Processing 17 11 1998 1534 1546 (Pubitemid 128745427)
    • (1998) IEEE Transactions on Image Processing , vol.7 , Issue.11 , pp. 1534-1546
    • Caves, R.1    Quegan, S.2    White, R.3
  • 45
    • 0010570371 scopus 로고    scopus 로고
    • EM Procedures Using Mean Field-like Approximations for Markov Model-Based Image Segmentation
    • G. Celeux, F. Forbes, N. Peyrard, EM Procedures Using Mean Field-like Approximations for Markov Model-Based Image Segmentation, Technical Report 4105, INRIA, 2001, 〈http://hal.inria.fr/inria-00072526/en/〉.
    • (2001) Technical Report 4105, INRIA
    • Celeux, G.1    Forbes, F.2    Peyrard, N.3
  • 48
    • 4544291885 scopus 로고    scopus 로고
    • Unsupervise image segmentation based on a new fuzzy HMC model
    • Montreal, Canada, May
    • C. Carincotte, S. Derrode, G. Sicot, J.M. Boucher, Unsupervise image segmentation based on a new fuzzy HMC model, in: Proceedings of the ICASSP04, Montreal, Canada, May, 2004, pp. 17-21.
    • (2004) Proceedings of the ICASSP04 , pp. 17-21
    • Carincotte, C.1    Derrode, S.2    Sicot, G.3    Boucher, J.M.4


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