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Volumn 83, Issue 9, 2003, Pages 1871-1887

Bayesian off-line detection of multiple change-points corrupted by multiplicative noise: Application to SAR image edge detection

Author keywords

Change point detection; MCMC methods; SAR image segmentation

Indexed keywords

COMPUTER SIMULATION; EDGE DETECTION; ERROR ANALYSIS; INTEGRATION; MARKOV PROCESSES; PARAMETER ESTIMATION; SPURIOUS SIGNAL NOISE; SYNTHETIC APERTURE RADAR;

EID: 0041627950     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(03)00106-3     Document Type: Article
Times cited : (37)

References (48)
  • 1
    • 0023831656 scopus 로고
    • A new statistical approach for automatic segmentation of continuous speech signals
    • Andre-Obrecht R. A new statistical approach for automatic segmentation of continuous speech signals. IEEE Trans. Acoust. Speech Signal Process. 36:1988;29-40.
    • (1988) IEEE Trans. Acoust. Speech Signal Process. , vol.36 , pp. 29-40
    • Andre-Obrecht, R.1
  • 6
    • 0001611076 scopus 로고
    • Hierarchical Bayesian analysis of change-point problems
    • Carlin B.P., Gelfand A.E., Smith A.F.M. Hierarchical Bayesian analysis of change-point problems. Appl. Stat. 41(1):1992;389-405.
    • (1992) Appl. Stat. , vol.41 , Issue.1 , pp. 389-405
    • Carlin, B.P.1    Gelfand, A.E.2    Smith, A.F.M.3
  • 7
    • 0003122168 scopus 로고    scopus 로고
    • Estimation and comparison of multiple change-point models
    • Chib S. Estimation and comparison of multiple change-point models. J. Econometrics. 86:1998;221-241.
    • (1998) J. Econometrics , vol.86 , pp. 221-241
    • Chib, S.1
  • 8
    • 32344446687 scopus 로고
    • Understanding the metropolis-hastings algorithm
    • Chib S., Greenberg E. Understanding the Metropolis-Hastings algorithm. Am. Statistician. 49:1995;327-335.
    • (1995) Am. Statistician , vol.49 , pp. 327-335
    • Chib, S.1    Greenberg, E.2
  • 11
    • 0033243858 scopus 로고    scopus 로고
    • Convergence of a stochastic approximation version of the EM algorithm
    • Delyon B., Lavielle M., Moulines E. Convergence of a stochastic approximation version of the EM algorithm. Ann. Stat. 27(1):1999;94-128.
    • (1999) Ann. Stat. , vol.27 , Issue.1 , pp. 94-128
    • Delyon, B.1    Lavielle, M.2    Moulines, E.3
  • 12
    • 0043145535 scopus 로고
    • A MAP solution to off-line segmentation of signals
    • Adelaide, Australia
    • P.M. Djuric, A MAP solution to off-line segmentation of signals, in: Proceedings of IEEE ICASSP'94, Adelaide, Australia, 1994, pp. 505-508.
    • (1994) Proceedings of IEEE ICASSP'94 , pp. 505-508
    • Djuric, P.M.1
  • 13
    • 0031274365 scopus 로고    scopus 로고
    • On the detection of edges in vector images
    • November
    • Djuric P.M., Fwu J.K. On the detection of edges in vector images. IEEE Trans. Image Proc. 6(11):November 1997;1595-1601.
    • (1997) IEEE Trans. Image Proc. , vol.6 , Issue.11 , pp. 1595-1601
    • Djuric, P.M.1    Fwu, J.K.2
  • 16
    • 0019925686 scopus 로고
    • A model for radar images and its application to adaptive digital filtering of multiplicative noise
    • March
    • Frost V.S., Stiles J.A., Shanmugan K.S., Holtzman J.C. A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Trans. Pattern Anal. Mach. Intell. PAMI-4:March 1982;157-166.
    • (1982) IEEE Trans. Pattern Anal. Mach. Intell. , vol.PAMI-4 , pp. 157-166
    • Frost, V.S.1    Stiles, J.A.2    Shanmugan, K.S.3    Holtzman, J.C.4
  • 17
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
    • November
    • Geman S., Geman D. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell. PAMI- 6:November 1984;721-741.
    • (1984) IEEE Trans. Pattern Anal. Mach. Intell. , vol.PAMI-6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 18
    • 84972511893 scopus 로고
    • Practical Markov chain Monte Carlo
    • Geyer C. Practical Markov chain Monte Carlo. Stat. Sci. 7:1992;473-482.
    • (1992) Stat. Sci. , vol.7 , pp. 473-482
    • Geyer, C.1
  • 19
    • 0002517089 scopus 로고    scopus 로고
    • Introducing Markov chain Monte Carlo
    • W.R. Gilks, S. Richardson, & D.J. Spiegelhalter. London, UK: Chapman & Hall
    • Gilks W.R., Richardson S., Spiegelhalter D.J. Introducing Markov chain Monte Carlo. Gilks W.R., Richardson S., Spiegelhalter D.J. Markov Chain Monte Carlo in Practice. 1996;1-19 Chapman & Hall, London, UK.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 1-19
    • Gilks, W.R.1    Richardson, S.2    Spiegelhalter, D.J.3
  • 20
    • 0032122676 scopus 로고    scopus 로고
    • Statistical reconstruction and analysis of autoregressive signals in impulsive noise using the Gibbs sampler
    • July
    • Godsill S.J., Rayner P.J.W. Statistical reconstruction and analysis of autoregressive signals in impulsive noise using the Gibbs sampler. IEEE Trans. Speech Audio Proc. 6:July 1998;352-372.
    • (1998) IEEE Trans. Speech Audio Proc. , vol.6 , pp. 352-372
    • Godsill, S.J.1    Rayner, P.J.W.2
  • 21
    • 77956889087 scopus 로고
    • Reversible jump MCMC computation and Bayesian model determination
    • Green P.J. Reversible jump MCMC computation and Bayesian model determination. Biometrika. 82:1995;711-732.
    • (1995) Biometrika , vol.82 , pp. 711-732
    • Green, P.J.1
  • 22
    • 0029734184 scopus 로고    scopus 로고
    • The marginalized likelihood ratio test for detecting abrupt changes
    • Gustafsson F. The marginalized likelihood ratio test for detecting abrupt changes. IEEE Trans. Automat. Control. 41:1996;66-77.
    • (1996) IEEE Trans. Automat. Control , vol.41 , pp. 66-77
    • Gustafsson, F.1
  • 24
    • 0024089491 scopus 로고
    • Adaptive segmentation of speckled images using a hierarchical random field model
    • October
    • Kelly P.A., Derin H., Hartt K. Adaptive segmentation of speckled images using a hierarchical random field model. IEEE Trans. Acoust. Speech Signal Process. 36(10):October 1988;1628-1641.
    • (1988) IEEE Trans. Acoust. Speech Signal Process. , vol.36 , Issue.10 , pp. 1628-1641
    • Kelly, P.A.1    Derin, H.2    Hartt, K.3
  • 25
    • 0043137789 scopus 로고    scopus 로고
    • Detection of multiple changes in a sequence of random variables
    • September
    • Lavielle M. Detection of multiple changes in a sequence of random variables. Stoch. Process Appl. 83(1):September 1999;79-102.
    • (1999) Stoch. Process Appl. , vol.83 , Issue.1 , pp. 79-102
    • Lavielle, M.1
  • 26
    • 0032070101 scopus 로고    scopus 로고
    • Optimal segmentation of random processes
    • May
    • Lavielle M. Optimal segmentation of random processes. IEEE Trans. Signal Process. 46(5):May 1998;1365-1373.
    • (1998) IEEE Trans. Signal Process. , vol.46 , Issue.5 , pp. 1365-1373
    • Lavielle, M.1
  • 27
    • 79953111112 scopus 로고
    • Bayesian inference and prediction for mean and variance shifts in autoregressive time series
    • McCulloch R.E., Tsay R.S. Bayesian inference and prediction for mean and variance shifts in autoregressive time series. J. Am. Stat. Assoc. 88:1993;968-978.
    • (1993) J. Am. Stat. Assoc. , vol.88 , pp. 968-978
    • McCulloch, R.E.1    Tsay, R.S.2
  • 28
    • 84981454150 scopus 로고
    • Bayesian analysis of autoregressive time series via the Gibbs sampler
    • McCulloch R.E., Tsay R.S. Bayesian analysis of autoregressive time series via the Gibbs sampler. J. Time Ser. Anal. 15:1994;235-250.
    • (1994) J. Time Ser. Anal. , vol.15 , pp. 235-250
    • McCulloch, R.E.1    Tsay, R.S.2
  • 30
    • 0002013327 scopus 로고    scopus 로고
    • Bayesian model comparison via jump diffusion
    • W.R. Gilks, S. Richardson, & D.J. Spiegelhalter. London, UK: Chapman & Hall
    • Phillips D.B., Smith A.F.M. Bayesian model comparison via jump diffusion. Gilks W.R., Richardson S., Spiegelhalter D.J. Markov Chain Monte Carlo in Practice. 1996;215-239 Chapman & Hall, London, UK.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 215-239
    • Phillips, D.B.1    Smith, A.F.M.2
  • 32
    • 0003471081 scopus 로고    scopus 로고
    • Discretization and MCMC convergence assessment
    • Berlin: Springer
    • Robert C.P. Discretization and MCMC Convergence Assessment. Lectures Notes in Statistics. Vol. 135:1998;Springer, Berlin.
    • (1998) Lectures Notes in Statistics , vol.135
    • Robert, C.P.1
  • 34
    • 0032623543 scopus 로고    scopus 로고
    • Analysis of multiscale products for step detection and estimation
    • April
    • Sadler B.M., Swami A. Analysis of multiscale products for step detection and estimation. IEEE Trans. Inform Theory. 45(3):April 1999;1043-1051.
    • (1999) IEEE Trans. Inform Theory , vol.45 , Issue.3 , pp. 1043-1051
    • Sadler, B.M.1    Swami, A.2
  • 35
    • 0008766419 scopus 로고    scopus 로고
    • Multiple-order Markov chain Monte Carlo methods with application to a change-point model
    • Department of Engineering, Cambridge University, Cambridge, UK, September
    • J.A. Stark, W.J. Fitzgerald, S.B. Hladky, Multiple-order Markov chain Monte Carlo methods with application to a change-point model, Technical report CUED/F-INFENG-TR 302, Department of Engineering, Cambridge University, Cambridge, UK, September 1997.
    • (1997) Technical Report CUED/F-INFENG-TR 302
    • Stark, J.A.1    Fitzgerald, W.J.2    Hladky, S.B.3
  • 36
    • 21344490449 scopus 로고
    • Bayesian retrospective multiple-change-point identification
    • Stephens D.A. Bayesian retrospective multiple-change-point identification. Appl. Stat. 43(1):1994;159-178.
    • (1994) Appl. Stat. , vol.43 , Issue.1 , pp. 159-178
    • Stephens, D.A.1
  • 37
    • 0001938838 scopus 로고
    • Bayesian edge detection in images via change-point methods
    • W. Hardle, & L. Simar. Wurzburg: Physica Verlag
    • Stephens D.A., Smith A.F.M. Bayesian edge detection in images via change-point methods. Hardle W., Simar L. Computer intensive methods in statistics. 1993;1-29 Physica Verlag, Wurzburg.
    • (1993) Computer Intensive Methods in Statistics , pp. 1-29
    • Stephens, D.A.1    Smith, A.F.M.2
  • 38
    • 0028413983 scopus 로고
    • Multiplicative noise models: Parameter estimation using cumulants
    • Swami A. Multiplicative noise models. parameter estimation using cumulants Signal Processing. 36:1994;355-373.
    • (1994) Signal Processing , vol.36 , pp. 355-373
    • Swami, A.1
  • 39
    • 0032260731 scopus 로고    scopus 로고
    • Step-change localization in additive and multiplicative noise via multiscale products
    • Pacific Grove, CA, November
    • A. Swami, B. Sadler, Step-change localization in additive and multiplicative noise via multiscale products, in: 32nd Asilomar Conference on Signal Systems and Computers, Pacific Grove, CA, November 1998.
    • (1998) 32nd Asilomar Conference on Signal Systems and Computers
    • Swami, A.1    Sadler, B.2
  • 40
    • 0000576595 scopus 로고
    • Markov chains for exploring posterior distributions
    • Tierney L. Markov chains for exploring posterior distributions. Ann. Stat. 22(4):1994;1701-1728.
    • (1994) Ann. Stat. , vol.22 , Issue.4 , pp. 1701-1728
    • Tierney, L.1
  • 41
    • 0030674162 scopus 로고    scopus 로고
    • Off-line detection and estimation of abrupt changes corrupted by multiplicative colored Gaussian noise
    • Munich, April
    • J.Y. Tourneret, M. Chabert, Off-line detection and estimation of abrupt changes corrupted by multiplicative colored Gaussian noise, Proceedings of ICASSP'97, Munich, April 1997.
    • (1997) Proceedings of ICASSP'97
    • Tourneret, J.Y.1    Chabert, M.2
  • 42
    • 2142792212 scopus 로고    scopus 로고
    • Least squares estimation of multiple abrupt changes contaminated by multiplicative noise using MCMC
    • Caesarea, Israel, June
    • J.Y. Tourneret, M. Coulon, M. Doisy, Least squares estimation of multiple abrupt changes contaminated by multiplicative noise using MCMC, Proceedings of HOS'99, Caesarea, Israel, June 1999.
    • (1999) Proceedings of HOS'99
    • Tourneret, J.Y.1    Coulon, M.2    Doisy, M.3
  • 43
    • 0024104767 scopus 로고
    • A statistical and geometrical edge detector for SAR images
    • November
    • Touzi R., Lopes A., Bousquet P. A statistical and geometrical edge detector for SAR images. IEEE Trans. Geosci. Remote Sensing. 26(6):November 1988;764-773.
    • (1988) IEEE Trans. Geosci. Remote Sensing , vol.26 , Issue.6 , pp. 764-773
    • Touzi, R.1    Lopes, A.2    Bousquet, P.3
  • 46
    • 0026172104 scopus 로고
    • Watersheds in digital spaces: An efficient algorithm based on immersion simulations
    • May
    • Vincent L., Soille P. Watersheds in digital spaces. an efficient algorithm based on immersion simulations IEEE Trans. Pattern Anal. Mach. Intell. PAMI 13:May 1991;583-598.
    • (1991) IEEE Trans. Pattern Anal. Mach. Intell. , vol.PAMI 13 , pp. 583-598
    • Vincent, L.1    Soille, P.2
  • 47
    • 0016922921 scopus 로고
    • A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems
    • February
    • Willsky A.W., Jones H.L. A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems. IEEE Trans. Automat. Control. 21:February 1976;108-112.
    • (1976) IEEE Trans. Automat. Control , vol.21 , pp. 108-112
    • Willsky, A.W.1    Jones, H.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.