메뉴 건너뛰기




Volumn 14, Issue 4, 2013, Pages 441-449

SAR image multiclass segmentation using a multiscale and multidirection triplet Markov fields model in nonsubsampled contourlet transform domain

Author keywords

Multiscale information fusion; NSCT HMT; NSCT TMF energy function; NSCT TMF model; SAR image multiclass segmentation

Indexed keywords

IMAGE ENHANCEMENT; IMAGE FUSION; IMAGE SEGMENTATION; INFORMATION FUSION; SYNTHETIC APERTURE RADAR;

EID: 84887807143     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2012.12.001     Document Type: Article
Times cited : (18)

References (26)
  • 1
    • 14644412825 scopus 로고    scopus 로고
    • Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model
    • H.W. Deng, D.A. Clausi, Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model, IEEE Trans. Geosci. Remote Sens. 43 (3) (2005) 528-538.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.3 , pp. 528-538
    • Deng, H.W.1    Clausi, D.A.2
  • 2
    • 34447285018 scopus 로고    scopus 로고
    • Unsupervised statistical segmentation of nonstationary images using triplet Markov fields
    • D. Benboudjema, W. Pieczynski, Unsupervised statistical segmentation of nonstationary images using triplet Markov fields, IEEE Trans. Pattern Anal. Mach. Intell. 29 (8) (2007) 1367-1378.
    • (2007) IEEE Trans. Pattern Anal. Mach. Intell. , vol.29 , Issue.8 , pp. 1367-1378
    • Benboudjema, D.1    Pieczynski, W.2
  • 4
    • 79957527724 scopus 로고    scopus 로고
    • Unsupervised multi-class segmentation of SAR images using triplet Markov fields models based on edge penalty
    • Y. Wu, M. Li, P. Zhang, H.T. Zong, P. Xiao, C.Y. Liu, Unsupervised multi-class segmentation of SAR images using triplet Markov fields models based on edge penalty, Pattern Recogn. Lett. 32 (2011) 1532-1540.
    • (2011) Pattern Recogn. Lett. , vol.32 , pp. 1532-1540
    • Wu, Y.1    Li, M.2    Zhang, P.3    Zong, H.T.4    Xiao, P.5    Liu, C.Y.6
  • 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, M. Li, Fast algorithm based on triplet Markov fields for unsupervised multi-class segmentation of SAR images, Sci. China Ser. F: Inform. Sci. 40 (12) (2011) 1636-1645.
    • (2011) Sci. China Ser. F: Inform. Sci. , 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
  • 6
    • 84862198208 scopus 로고    scopus 로고
    • Unsupervised multiclass segmentation of SAR images using fuzzy triplet Markov fields model
    • P. Zhang, M. Li, Y. Wu, L. Gan, M. Liu, F. Wang, G.F. Liu, Unsupervised multiclass segmentation of SAR images using fuzzy triplet Markov fields model, Pattern Recogn. 45 (2012) 4018-4033.
    • (2012) Pattern Recogn. , vol.45 , pp. 4018-4033
    • Zhang, P.1    Li, M.2    Wu, Y.3    Gan, L.4    Liu, M.5    Wang, F.6    Liu, G.F.7
  • 7
    • 0141885057 scopus 로고    scopus 로고
    • A tree-structure Markov random field model for Bayesianimage segmentation
    • C. D' Elia, G. Poggi, G. Scarpa, A tree-structure Markov random field model for Bayesianimage segmentation, IEEE Trans. Image Process. 12(10) (2003)1259-1273.
    • (2003) IEEE Trans. Image Process. , vol.12 , Issue.10 , pp. 1259-1273
    • D'Elia, C.1    Poggi, G.2    Scarpa, G.3
  • 8
    • 12344270152 scopus 로고    scopus 로고
    • Multiband segmentation based on a hierarchical Markov model
    • C. Collet, F. Murtagh, Multiband segmentation based on a hierarchical Markov model, Pattern Recogn. 37 (2004) 2337-2347.
    • (2004) Pattern Recogn. , vol.37 , pp. 2337-2347
    • Collet, C.1    Murtagh, F.2
  • 9
    • 0034229994 scopus 로고    scopus 로고
    • Sonar image segmentation using an unsupervised hierarchical MRF model
    • M. Mignotte, C. Collet, P. Perez, P. Bouthemy, Sonar image segmentation using an unsupervised hierarchical MRF model, IEEE Trans. Image Process. 9 (7) (2000) 1216-1231.
    • (2000) IEEE Trans. Image Process. , vol.9 , Issue.7 , pp. 1216-1231
    • Mignotte, M.1    Collet, C.2    Perez, P.3    Bouthemy, P.4
  • 10
    • 14644395523 scopus 로고    scopus 로고
    • A hierarchical Markovian model for multiscale region-based classification of vector-valued images
    • A. Katartzis, I. Vanhamel, H. Sahli, A hierarchical Markovian model for multiscale region-based classification of vector-valued images, IEEE Trans. Geosci. Remote Sens. 43 (3) (2005) 548-558.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.3 , pp. 548-558
    • Katartzis, A.1    Vanhamel, I.2    Sahli, H.3
  • 11
    • 0035443990 scopus 로고    scopus 로고
    • Multiscale image segmentation using wavelet-domain hidden Markov models
    • H. Choi, R.G. Baraniuk, Multiscale image segmentation using wavelet-domain hidden Markov models, IEEE Trans. Image Process. 10 (9) (2001) 1309-1321.
    • (2001) IEEE Trans. Image Process. , vol.10 , Issue.9 , pp. 1309-1321
    • Choi, H.1    Baraniuk, R.G.2
  • 12
    • 33646883645 scopus 로고    scopus 로고
    • Directional multiscale modeling of images using the contourlet transform
    • D.D.Y. Po, M.N. Do, Directional multiscale modeling of images using the contourlet transform, IEEE Trans. Image Process. 15 (6) (2006) 1610-1620.
    • (2006) IEEE Trans. Image Process. , vol.15 , Issue.6 , pp. 1610-1620
    • Po, D.D.Y.1    Do, M.N.2
  • 13
    • 33747727601 scopus 로고    scopus 로고
    • Wavelet-based statistical signal processing using hidden Markov models
    • M.S. Crouse, R.D. Nowak, R.G. Baraniuk, Wavelet-based statistical signal processing using hidden Markov models, IEEE Trans. Signal Process. 46 (4) (1998) 886-902.
    • (1998) IEEE Trans. Signal Process. , vol.46 , Issue.4 , pp. 886-902
    • Crouse, M.S.1    Nowak, R.D.2    Baraniuk, R.G.3
  • 14
    • 58849152796 scopus 로고    scopus 로고
    • Statistical image modeling in the contourlet domain using contextual hidden Markov models
    • Z.L. Long, N.H. Younan, Statistical image modeling in the contourlet domain using contextual hidden Markov models, Signal Process. 89 (2009) 946-951.
    • (2009) Signal Process. , vol.89 , pp. 946-951
    • Long, Z.L.1    Younan, N.H.2
  • 15
    • 77951204152 scopus 로고    scopus 로고
    • Wavelet-based multiscale texture segmentation: Application to stromal compartment characterization on virtual slides
    • N. Signolle, M. Revenu, B. Plancoulaine, P. Herlin, Wavelet-based multiscale texture segmentation: application to stromal compartment characterization on virtual slides, Signal Process. 90 (2010) 2412-2422.
    • (2010) Signal Process. , vol.90 , pp. 2412-2422
    • Signolle, N.1    Revenu, M.2    Plancoulaine, B.3    Herlin, P.4
  • 16
    • 60349097525 scopus 로고    scopus 로고
    • SAR image segmentation based on mixture context and wavelet hidden-class-label Markov random field
    • M. Li, Y. Wu, Q. Zhang, SAR image segmentation based on mixture context and wavelet hidden-class-label Markov random field, Comput. Math. Appl. 57 (2009) 961-969.
    • (2009) Comput. Math. Appl. , vol.57 , pp. 961-969
    • Li, M.1    Wu, Y.2    Zhang, Q.3
  • 19
    • 33749161371 scopus 로고    scopus 로고
    • The nonsubsampled contourlet transform: Theory, design, and applications
    • A.L.D. Cunha, J.P. Zhou, M.N. Do, The nonsubsampled contourlet transform: theory, design, and applications, IEEE Trans. Image Process. 15 (10) (2006) 3089-3101.
    • (2006) IEEE Trans. Image Process. , vol.15 , Issue.10 , pp. 3089-3101
    • Cunha, A.L.D.1    Zhou, J.P.2    Do, M.N.3
  • 20
    • 77952581843 scopus 로고    scopus 로고
    • An efficient and flexible statistical model based on generalized Gamma distribution for amplitude SAR images
    • H.C. Li, W. Hong, Y.R. Wu, P.Z. Fan, An efficient and flexible statistical model based on generalized Gamma distribution for amplitude SAR images, IEEE Trans. Geosci. Remote Sens. 48 (6) (2010) 2711-2722.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.6 , pp. 2711-2722
    • Li, H.C.1    Hong, W.2    Wu, Y.R.3    Fan, P.Z.4
  • 21
    • 48349091769 scopus 로고    scopus 로고
    • Globally convergent algorithms for estimating generalized Gamma distributions in fast signal and image processing
    • K.S. Song, Globally convergent algorithms for estimating generalized Gamma distributions in fast signal and image processing, IEEE Trans. Image Process. 17 (8) (2008) 1233-1250.
    • (2008) IEEE Trans. Image Process. , vol.17 , Issue.8 , pp. 1233-1250
    • Song, K.S.1
  • 22
    • 0031189036 scopus 로고    scopus 로고
    • Parameter estimation in hidden fuzzy Markov random fields and image segmentation
    • F. Salzenstein, W. Pieczynski, Parameter estimation in hidden fuzzy Markov random fields and image segmentation, Graph. Models Image Process. 59 (4) (1997) 205-220.
    • (1997) Graph. Models Image Process. , vol.59 , Issue.4 , pp. 205-220
    • Salzenstein, F.1    Pieczynski, W.2
  • 23
  • 24
    • 0023123263 scopus 로고
    • Modeling and segmentation of noisy and textured images using Gibbs random fields
    • H. Derin, H. Elliott, Modeling and segmentation of noisy and textured images using Gibbs random fields, IEEE Trans. Pattern Anal. Mach. Intell. 9 (1) (1987) 39-55.
    • (1987) IEEE Trans. Pattern Anal. Mach. Intell. , vol.9 , Issue.1 , pp. 39-55
    • Derin, H.1    Elliott, H.2
  • 25
    • 24944572607 scopus 로고    scopus 로고
    • Supervised segmentation of remote sensing images based on a tree-structured MRF model
    • G. Poggi, G. Scarpa, J.B. Zerubia, Supervised segmentation of remote sensing images based on a tree-structured MRF model, IEEE Trans. Geosci. Remote Sens. 43 (8) (2005) 1901-1911.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.8 , pp. 1901-1911
    • Poggi, G.1    Scarpa, G.2    Zerubia, J.B.3
  • 26
    • 0032202666 scopus 로고    scopus 로고
    • Quantitative comparison of the performance of SAR segmentation algorithms
    • R. Caves, S. Quegan, R.White, Quantitative comparison of the performance of SAR segmentation algorithms, IEEE Trans. Image Process. 7 (11) (1998) 1534-1546.
    • (1998) IEEE Trans. Image Process. , vol.7 , Issue.11 , pp. 1534-1546
    • Caves, R.1    Quegan, S.2    White, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.