References
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Hazel GG (2000) Multivariate Gaussian MRF for multispectral scene segmentation and
anomaly detection. IEEE Transactions on Geoscience and Remote Sensing 39(3): 11991211
Hill D, Edwards P, Hawkes D (1994) Fusing medical images. Image Processing 6(2): 22-24
Kasetkasem T (2002) Image analysis methods based on Markov random field models. PhD
Thesis, Syracuse University, Syracuse, NY
Lakshmanan S, Derin H (1989) Simultaneous parameter estimation and segmentation of
Gibbs random fields using simulated annealing. IEEE Transactions on Pattern Analysis
and Machine Intelligence 11(8): 799-813
Lunetta RS, Elvigge CD (eds) (1999) Remote sensing change Detection. Taylor and Francis,
London, UK
Perez P, Heitz F (1996) Restriction of a Markov random field on a graph and multiresolution
statistical image modeling. IEEE Transactions on Information Theory 42( 1): 180-190
Petrovic VS, Xydeas CS (2000) Objective pixel-level image fusion performance measure.
Proceedings of the SPIE, pp 89-98
Reed JM, Hutchinson S (1996) Image fusion and subpixel parameter estimation for automated optical inspection of electronic components. IEEE Transactions on Industrial
Electronics 43: 346-354
Richards JA, Jia X (1999) Remote sensing digital image analysis: an introduction. SpringerVerlag, Berlin
Rignot EJM, van Zyle JJ (1993) Change detection techniques for ERS-1 SAR data. IEEE
Transactions on Geoscience and Remote Sensing 31 (4): 896-906
Singh A (1989) Digital change detection techniques using remotely sensed data. International Journal of Remote sensing 10(6): 989-1003
Toet A (1990) Hierarchical image fusion. Machine Vision and Applications 3(1): 1-11
Uner MK, Ramac LC, Varshney PK, Alford M (1997) Concealed weapon detection: an image
fusion approach. Proceeding ofSPIE 2942, pp 123-132
Van Trees HL (1968) Detection, estimation and modulation theory. Wiley, New York
Varshney PK (1997) Distributed detection and data fusion. Springer Verlag, New York
Wiemker R (1997) An iterative spectral-spatial Bayesian labeling approach for unsupervised
robust change detection on remotely sensed multispectral imagery. Proceedings of the
7th International Conference on Computer Analysis ofImages and Patterns: 263-270
Winkler G (1995) Image analysis random fields and dynamic Monte Carlo methods. Springer
Verlag, New York
307
Hazel GG (2000) Multivariate Gaussian MRF for multispectral scene segmentation and
anomaly detection. IEEE Transactions on Geoscience and Remote Sensing 39(3): 11991211
Hill D, Edwards P, Hawkes D (1994) Fusing medical images. Image Processing 6(2): 22-24
Kasetkasem T (2002) Image analysis methods based on Markov random field models. PhD
Thesis, Syracuse University, Syracuse, NY
Lakshmanan S, Derin H (1989) Simultaneous parameter estimation and segmentation of
Gibbs random fields using simulated annealing. IEEE Transactions on Pattern Analysis
and Machine Intelligence 11(8): 799-813
Lunetta RS, Elvigge CD (eds) (1999) Remote sensing change Detection. Taylor and Francis,
London, UK
Perez P, Heitz F (1996) Restriction of a Markov random field on a graph and multiresolution
statistical image modeling. IEEE Transactions on Information Theory 42( 1): 180-190
Petrovic VS, Xydeas CS (2000) Objective pixel-level image fusion performance measure.
Proceedings of the SPIE, pp 89-98
Reed JM, Hutchinson S (1996) Image fusion and subpixel parameter estimation for automated optical inspection of electronic components. IEEE Transactions on Industrial
Electronics 43: 346-354
Richards JA, Jia X (1999) Remote sensing digital image analysis: an introduction. SpringerVerlag, Berlin
Rignot EJM, van Zyle JJ (1993) Change detection techniques for ERS-1 SAR data. IEEE
Transactions on Geoscience and Remote Sensing 31 (4): 896-906
Singh A (1989) Digital change detection techniques using remotely sensed data. International Journal of Remote sensing 10(6): 989-1003
Toet A (1990) Hierarchical image fusion. Machine Vision and Applications 3(1): 1-11
Uner MK, Ramac LC, Varshney PK, Alford M (1997) Concealed weapon detection: an image
fusion approach. Proceeding ofSPIE 2942, pp 123-132
Van Trees HL (1968) Detection, estimation and modulation theory. Wiley, New York
Varshney PK (1997) Distributed detection and data fusion. Springer Verlag, New York
Wiemker R (1997) An iterative spectral-spatial Bayesian labeling approach for unsupervised
robust change detection on remotely sensed multispectral imagery. Proceedings of the
7th International Conference on Computer Analysis ofImages and Patterns: 263-270
Winkler G (1995) Image analysis random fields and dynamic Monte Carlo methods. Springer
Verlag, New York