178
6: Teerasit Kasetkasem
References
Begas J (1986) On the statistical analysis of dirty pictures. Journal of Royal Statistical Society
B 48(3): 259-302
Bremaud P (1999) Markov chains Gibbs field, Monte Carlo simulation and queues. Springer
Verlag, New York
Bruzzone L, Prieto DF (2000) Automatic analysis of the difference image for unsupervised
change detection. IEEE Transactions on Geoscience and Remote Sensing 38(3):11711182
Geman S, Geman D (1984) Stochastic relaxation, Gibbs distributions and the Bayesian
restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence
PAMI-6(6): 721-741
Hasting WK (1970) Monte Carlo sampling method using Markov chains and their applications. Biometrika 57(1): 97-109
Kasetkasem T, Varshney PK (2002) An image change detection algorithm based on Markov
random field models. IEEE Transactions on Geoscience and Remote Sensing 40( 8): 18151823
Marroguin J, Mitter S, Poggio T (1987) Probabilistic solution of ill-posed problems in
computer vision. Journal of the American Statistical Association 82: 76-89
Nikolova M (1999) Markovian reconstruction using a GNC approach. IEEE Transactions on
Image Processing 8(9): 1204-1220
Solberg AHS, Taxt T, Jain AK (1996) A Markov random field model for classification of
multisource satellite imagery. IEEE Transactions on Geoscience and Remote Sensing
34:100-1l3
Van Trees HL (1968) Detection, estimation and modulation theory. Wiley, New York
Varshney PK (1997) Distributed detection and data fusion. Springer Verlag, New York
Winkler G (1995) Image analysis random fields and dynamic Monte Carlo methods. Springer
Verlag, New York
6: Teerasit Kasetkasem
References
Begas J (1986) On the statistical analysis of dirty pictures. Journal of Royal Statistical Society
B 48(3): 259-302
Bremaud P (1999) Markov chains Gibbs field, Monte Carlo simulation and queues. Springer
Verlag, New York
Bruzzone L, Prieto DF (2000) Automatic analysis of the difference image for unsupervised
change detection. IEEE Transactions on Geoscience and Remote Sensing 38(3):11711182
Geman S, Geman D (1984) Stochastic relaxation, Gibbs distributions and the Bayesian
restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence
PAMI-6(6): 721-741
Hasting WK (1970) Monte Carlo sampling method using Markov chains and their applications. Biometrika 57(1): 97-109
Kasetkasem T, Varshney PK (2002) An image change detection algorithm based on Markov
random field models. IEEE Transactions on Geoscience and Remote Sensing 40( 8): 18151823
Marroguin J, Mitter S, Poggio T (1987) Probabilistic solution of ill-posed problems in
computer vision. Journal of the American Statistical Association 82: 76-89
Nikolova M (1999) Markovian reconstruction using a GNC approach. IEEE Transactions on
Image Processing 8(9): 1204-1220
Solberg AHS, Taxt T, Jain AK (1996) A Markov random field model for classification of
multisource satellite imagery. IEEE Transactions on Geoscience and Remote Sensing
34:100-1l3
Van Trees HL (1968) Detection, estimation and modulation theory. Wiley, New York
Varshney PK (1997) Distributed detection and data fusion. Springer Verlag, New York
Winkler G (1995) Image analysis random fields and dynamic Monte Carlo methods. Springer
Verlag, New York
