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Volumn 54, Issue 11, 2016, Pages 6333-6348

A New Cascade Model for the Hierarchical Joint Classification of Multitemporal and Multiresolution Remote Sensing Data

Author keywords

Hierarchical multiresolution Markov random fields; multitemporal classification; satellite image time series

Indexed keywords

CLASSIFICATION (OF INFORMATION); GRAPHIC METHODS; TIME SERIES; TIME SERIES ANALYSIS; WAVELET TRANSFORMS;

EID: 84983060394     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2016.2580321     Document Type: Article
Times cited : (28)

References (48)
  • 1
    • 0033878097 scopus 로고    scopus 로고
    • Discrete markov modeling and inference on the quad-tree
    • Mar.
    • J. M. Laferté, P. Perez, and F. Heitz, "Discrete Markov modeling and inference on the quad-tree," IEEE Trans. Image Process., vol. 9, no. 3, pp. 390-404, Mar. 2000.
    • (2000) IEEE Trans. Image Process , vol.9 , Issue.3 , pp. 390-404
    • Laferté, J.M.1    Perez, P.2    Heitz, F.3
  • 2
    • 0344014352 scopus 로고    scopus 로고
    • AMarkov random field approach to spatiotemporal contextual image classification
    • Nov.
    • F. Melgani and S. B. Serpico, "AMarkov random field approach to spatiotemporal contextual image classification," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 11, pp. 2478-2487, Nov. 2003.
    • (2003) IEEE Trans. Geosci. Remote Sens. , vol.41 , Issue.11 , pp. 2478-2487
    • Melgani, F.1    Serpico, S.B.2
  • 8
  • 10
    • 0021518209 scopus 로고
    • Stochastic relaxation, gibbs distributions, and the Bayesian restoration of images
    • Nov.
    • S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-6, no. 6, pp. 721-741, Nov. 1984.
    • (1984) IEEE Trans. Pattern Anal. Mach. Intell. , vol.PAMI-6 , Issue.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 11
    • 0009715019 scopus 로고
    • On sampling methods and annealing algorithms
    • R. Chellappa, Ed. Boston, MA, USA: Academic
    • S. B. Gelfand and S. K. Mitter, "On sampling methods and annealing algorithms," in Markov Random Fields, R. Chellappa, Ed. Boston, MA, USA: Academic, 1993, pp. 499-515.
    • (1993) Markov Random Fields , pp. 499-515
    • Gelfand, S.B.1    Mitter, S.K.2
  • 13
    • 84857708013 scopus 로고
    • Univ. Pennsylvania, Dept. Comput. Inf. Sci., Philadelphia, PA, USA, Res. Rep., Nov.
    • S. Rajasekaran, "On the convergence time of simulated annealing," Univ. Pennsylvania, Dept. Comput. Inf. Sci., Philadelphia, PA, USA, Res. Rep. MS-CIS-90-89, Nov. 1990.
    • (1990) On the Convergence Time of Simulated Annealing
    • Rajasekaran, S.1
  • 14
    • 0028204562 scopus 로고
    • Efficient multiscale regularization with applications to the computation of optical flow
    • M. R. Luettgen, W. Clem Karl, and A. S. Willsky, "Efficient multiscale regularization with applications to the computation of optical flow," IEEE Trans. Image Process., vol. 3, no. 1, pp. 41-64, 1994.
    • (1994) IEEE Trans. Image Process , vol.3 , Issue.1 , pp. 41-64
    • Luettgen, M.R.1    Clem Karl, W.2    Willsky, A.S.3
  • 15
    • 84896405772 scopus 로고    scopus 로고
    • Supervised classification of multi-sensor and multi-resolution remote sensing images with a hierarchical copula-based approach
    • Jun.
    • A. Voisin, V. Krylov, G. Moser, J. Zerubia, and S. B. Serpico, "Supervised classification of multi-sensor and multi-resolution remote sensing images with a hierarchical copula-based approach," IEEE Trans. Geoscience and Remote Sensing, vol. 52, no. 6, pp. 3346-3358, Jun. 2014.
    • (2014) IEEE Trans. Geoscience and Remote Sensing , vol.52 , Issue.6 , pp. 3346-3358
    • Voisin, A.1    Krylov, V.2    Moser, G.3    Zerubia, J.4    Serpico, S.B.5
  • 17
    • 0026104394 scopus 로고
    • Multiple resolution segmentation of texture images
    • Feb.
    • C. Bouman and B. Liu, "Multiple resolution segmentation of texture images," IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, no. 2, pp. 99-113, Feb. 1991.
    • (1991) IEEE Trans. Pattern Anal. Mach. Intell. , vol.13 , Issue.2 , pp. 99-113
    • Bouman, C.1    Liu, B.2
  • 18
    • 0018155973 scopus 로고
    • Bayesian classification in a time-varying environment
    • Dec.
    • P. H. Swain, "Bayesian classification in a time-varying environment," IEEE Trans. Syst., Man Cybern., vol. SMC-8, no. 12, pp. 879-883, Dec. 1978.
    • (1978) IEEE Trans. Syst., Man Cybern. , vol.SMC-8 , Issue.12 , pp. 879-883
    • Swain, P.H.1
  • 19
    • 0032638011 scopus 로고    scopus 로고
    • A neural-statistical approach to multitemporal and multisource remote-sensing image classification
    • May
    • L. Bruzzone, D. F. Prieto, and S. B. Serpico, "A neural-statistical approach to multitemporal and multisource remote-sensing image classification," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1350-1359, May 1999.
    • (1999) IEEE Trans. Geosci. Remote Sens. , vol.37 , Issue.3 , pp. 1350-1359
    • Bruzzone, L.1    Prieto, D.F.2    Serpico, S.B.3
  • 21
    • 0026908846 scopus 로고
    • Multiscale autoregressive processes, part I: Schur-levinson parametrization
    • Aug.
    • M. Basseville, A. Benveniste, and A. S. Willsky, "Multiscale autoregressive processes, Part I: Schur-Levinson parametrization," IEEE Trans. Signal Process., vol. 40, no. 8, pp. 1915-1934, Aug. 1992.
    • (1992) IEEE Trans. Signal Process , vol.40 , Issue.8 , pp. 1915-1934
    • Basseville, M.1    Benveniste, A.2    Willsky, A.S.3
  • 24
    • 0015600423 scopus 로고
    • The viterbi algorithm
    • Mar.
    • G. D. Forney, "The Viterbi algorithm," Proc. IEEE, vol. 61, no. 3, pp. 268-278, Mar. 1973.
    • (1973) Proc. IEEE , vol.61 , Issue.3 , pp. 268-278
    • Forney, G.D.1
  • 25
    • 0000353178 scopus 로고
    • A maximization technique occuring in the statistical analysis of probabilistic functions of markov chains
    • L. Baum, T. Petrie, G. Soules, and N. Weiss, "A maximization technique occuring in the statistical analysis of probabilistic functions of Markov chains," Ann. Math. Stat., vol. 41, no. 1, pp. 164-171, 1970.
    • (1970) Ann. Math. Stat. , vol.41 , Issue.1 , pp. 164-171
    • Baum, L.1    Petrie, T.2    Soules, G.3    Weiss, N.4
  • 26
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems (with discussion)
    • J. Besag, "Spatial interaction and the statistical analysis of lattice systems (with discussion)," J. R. Statist. Soc. Ser. B, vol. 36, no. 2, pp. 192-326, 1974.
    • (1974) J. R. Statist. Soc. Ser. B , vol.36 , Issue.2 , pp. 192-326
    • Besag, J.1
  • 27
    • 85008063643 scopus 로고
    • Satellite image classification using a modified metropolis dynamics
    • San Francisco, CA, USA, Mar.
    • Z. Kato, J. Zerubia, and M. Berthod, "Satellite image classification using a modified Metropolis dynamics," in Proc. IEEE Int. Conf. Acoust., Speech Signal Process., San Francisco, CA, USA, Mar. 1992, pp. 573-576.
    • (1992) Proc. IEEE Int. Conf. Acoust., Speech Signal Process , pp. 573-576
    • Kato, Z.1    Zerubia, J.2    Berthod, M.3
  • 28
    • 0039962448 scopus 로고
    • Bayesian image classification using markov random fields
    • A. Mohammad-Djafari, and G. Demoment, Eds. Dordrecht, The Netherlands: Kluwer
    • Z. Kato, J. Zerubia, M. Berthod, "Bayesian image classification using Markov random fields," in Maximum Entropy and Bayesian Methods, A. Mohammad-Djafari, and G. Demoment, Eds. Dordrecht, The Netherlands: Kluwer, 1993, pp. 375-382.
    • (1993) Maximum Entropy and Bayesian Methods , pp. 375-382
    • Kato, Z.1    Zerubia, J.2    Berthod, M.3
  • 29
    • 0030376179 scopus 로고    scopus 로고
    • Stochastic versions of the em algorithm: An experimental study in the mixture case
    • G. Celeux, D. Chauveau, and J. Diebolt, "Stochastic versions of the EM algorithm: An experimental study in the mixture case," J. Statist. Comput. Simul., vol. 55, no. 4, pp. 287-314, 1996.
    • (1996) J. Statist. Comput. Simul. , vol.55 , Issue.4 , pp. 287-314
    • Celeux, G.1    Chauveau, D.2    Diebolt, J.3
  • 30
    • 0028392841 scopus 로고
    • A multiscale image model for Bayesian image segmentation
    • C. Bouman and M. Shapiro, "A multiscale image model for Bayesian image segmentation," IEEE Trans. Image Processing, vol. 3, no. 2, pp. 162-177, 1994.
    • (1994) IEEE Trans. Image Processing , vol.3 , Issue.2 , pp. 162-177
    • Bouman, C.1    Shapiro, M.2
  • 32
  • 33
    • 79959748493 scopus 로고    scopus 로고
    • Multiscale unsupervised change detection on optical images by markov random fields and wavelets
    • Jul.
    • G. Moser, E. Angiati, and S. B. Serpico, "Multiscale unsupervised change detection on optical images by Markov random fields and wavelets," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 4, pp. 725-729, Jul. 2011.
    • (2011) IEEE Geosci. Remote Sens. Lett. , vol.8 , Issue.4 , pp. 725-729
    • Moser, G.1    Angiati, E.2    Serpico, S.B.3
  • 34
    • 33845678010 scopus 로고    scopus 로고
    • Weight parameter optimization by the Ho-kashyap algorithm in MRF models for supervised image classification
    • Dec.
    • S. B. Serpico and G. Moser, "Weight parameter optimization by the Ho-Kashyap algorithm in MRF models for supervised image classification," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 12, pp. 3695-3705, Dec. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.12 , pp. 3695-3705
    • Serpico, S.B.1    Moser, G.2
  • 35
    • 0041339533 scopus 로고    scopus 로고
    • Parameter estimation in markov random field image modeling with imperfect observations. A comparative study
    • Oct.
    • M. V. Ibáñez and A. Simó, "Parameter estimation in Markov random field image modeling with imperfect observations. A comparative study," Pattern Recognit. Lett., vol. 24, no. 15, pp. 2377-2389, Oct. 2003.
    • (2003) Pattern Recognit. Lett. , vol.24 , Issue.15 , pp. 2377-2389
    • Ibáñez, M.V.1    Simó, A.2
  • 36
    • 84905580707 scopus 로고    scopus 로고
    • Low-level hierarchical multiscale segmentation statistics of natural images
    • Sep.
    • E. Akbas and N. Ahuja, "Low-level hierarchical multiscale segmentation statistics of natural images," IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 9, pp. 1900-1906, Sep. 2014.
    • (2014) IEEE Trans. Pattern Anal. Mach. Intell. , vol.36 , Issue.9 , pp. 1900-1906
    • Akbas, E.1    Ahuja, N.2
  • 37
    • 84896391629 scopus 로고    scopus 로고
    • Hierarchical segmentation of multitemporal RADARSAT-2 SAR data using stationary wavelet transform and algebraic multigrid method
    • Jul.
    • J. Deng, Y. Ban, J. Liu, L. Li, X. Niu, and B. Zou, "Hierarchical segmentation of multitemporal RADARSAT-2 SAR data using stationary wavelet transform and algebraic multigrid method," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 7, pp. 4353-4363, Jul. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.7 , pp. 4353-4363
    • Deng, J.1    Ban, Y.2    Liu, J.3    Li, L.4    Niu, X.5    Zou, B.6
  • 38
    • 84864276740 scopus 로고    scopus 로고
    • Satellite image time series analysis under time warping
    • Aug.
    • F. Petitjean, J. Inglada, and P. Gancarski, "Satellite image time series analysis under time warping," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 8, pp. 3081-3095, Aug. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.8 , pp. 3081-3095
    • Petitjean, F.1    Inglada, J.2    Gancarski, P.3
  • 39
    • 78650890354 scopus 로고    scopus 로고
    • Unsupervised extraction of floodinduced backscatter changes in SAR data using markov image modeling on irregular graphs
    • Jan.
    • S. Martinis, A. Twele, and S. Voigt, "Unsupervised extraction of floodinduced backscatter changes in SAR data using Markov image modeling on irregular graphs," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 1, pp. 251-263, Jan. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.1 , pp. 251-263
    • Martinis, S.1    Twele, A.2    Voigt, S.3
  • 40
    • 84906326713 scopus 로고    scopus 로고
    • Conditional random fields for multitemporal and multiscale classification of optical satellite imagery
    • Feb.
    • T. Hoberg, F. Rottensteiner, R.-Q. Feitosa, and C. Heipke, "Conditional random fields for multitemporal and multiscale classification of optical satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 2, pp. 659-673, Feb. 2015.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.2 , pp. 659-673
    • Hoberg, T.1    Rottensteiner, F.2    Feitosa, R.-Q.3    Heipke, C.4
  • 41
    • 0035509961 scopus 로고    scopus 로고
    • Fast approximate energy minimization via graph cuts
    • Nov.
    • Y. Boykov, O. Veksler, and R. Zabih, "Fast approximate energy minimization via graph cuts," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 11, pp. 1222-1239, Nov. 2001.
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell. , vol.23 , Issue.11 , pp. 1222-1239
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 42
    • 84949926414 scopus 로고    scopus 로고
    • New cascade model for hierarchical joint classification of multitemporal, multiresolution and multisensor remote sensing data
    • Paris, France
    • I. Hedhli, G. Moser, J. Zerubia, and S.-B. Serpico, "New cascade model for hierarchical joint classification of multitemporal, multiresolution and multisensor remote sensing data," in Proc. IEEE ICIP, Paris, France, 2014, pp. 5247-5251.
    • (2014) Proc. IEEE ICIP , pp. 5247-5251
    • Hedhli, I.1    Moser, G.2    Zerubia, J.3    Serpico, S.-B.4
  • 43
    • 0003064380 scopus 로고
    • Applications of a general propagation algorithm for probabilistic expert systems
    • Mar.
    • A. Dawid, "Applications of a general propagation algorithm for probabilistic expert systems," Statist. Comput., vol. 2, no. 1, pp. 25-36, Mar. 1992.
    • (1992) Statist. Comput. , vol.2 , Issue.1 , pp. 25-36
    • Dawid, A.1
  • 44
    • 84943803653 scopus 로고    scopus 로고
    • Fusing landsat and MODIS data for vegetationmonitoring
    • Sep.
    • F. Gao et al., "Fusing Landsat and MODIS data for vegetationmonitoring," IEEE Geosci. Remote Sens. Mag., vol. 3, no. 3, pp. 47-60, Sep. 2015.
    • (2015) IEEE Geosci. Remote Sens. Mag. , vol.3 , Issue.3 , pp. 47-60
    • Gao, F.1
  • 45
    • 84950881632 scopus 로고
    • Probabilistic solution of ill posed problems in computational vision
    • J. L. Marroquin, S. Mitter, and T. Poggio, "Probabilistic solution of ill posed problems in computational vision," J. Amer. Statist. Assoc., vol. 82, no. 397, pp. 76-89, 1987.
    • (1987) J. Amer. Statist. Assoc. , vol.82 , Issue.397 , pp. 76-89
    • Marroquin, J.L.1    Mitter, S.2    Poggio, T.3
  • 46
    • 0026262517 scopus 로고
    • Incremental estimation of image flow using a kalman filter
    • A. Singh, "Incremental estimation of image flow using a Kalman filter," in Proc. IEEE Workshop Vis. Motion, 1991, pp. 36-43.
    • (1991) Proc. IEEE Workshop Vis. Motion , pp. 36-43
    • Singh, A.1
  • 47
    • 0033882656 scopus 로고    scopus 로고
    • Noniterative manipulation of discrete energy-based models for image analysis
    • Apr.
    • P. Pérez, A. Chardin, and J. M. Laferté, "Noniterative manipulation of discrete energy-based models for image analysis," Pattern Recog., vol. 33, no. 4, pp. 573-586, Apr. 2000.
    • (2000) Pattern Recog. , vol.33 , Issue.4 , pp. 573-586
    • Pérez, P.1    Chardin, A.2    Laferté, J.M.3
  • 48
    • 0032311818 scopus 로고    scopus 로고
    • Semi-iterative inference with hierarchical models
    • A. Chardin and P. Pérez, "Semi-iterative inference with hierarchical models," in Proc. IEEE ICIP, 1998, vol. 1, pp. 630-634.
    • (1998) Proc. IEEE ICIP , vol.1 , pp. 630-634
    • Chardin, A.1    Pérez, P.2


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