[1] Carlotto M J. Detection and analysis of change in remotelysensed imagery with application to wide area surveillance[J].Image Processing.1997, 6(1):189-202 [2] Bruzzone L, and Prieto D F. Automatic analysis of thedifference image for unsupervised change detection. IEEETrans. on Geosci and Remote Sensing, 2000, 38(8):1170-1182. [3] Fung T. An assessment of TM imagery for land-coverchange detection[J].IEEE Trans. on Geosci. Remote Sensing.1990, 28(12):681-684 [4] Singh A. Digital change detection techniques usingremotely sensed data[J].Int. J. Remote Sensing.1989, 10(6):989-1003 [5] Townshend Jr R G and Justice C O. Spatial variability ofimages and the monitoring of changes in the normalizeddifference vegetation index[J].Int. J. Remote Sensing.1995,16(12):2187-2195 [6] Melgani F and Moser G. Unsupervised change-detectionmethods for remote-sensing images[J].Opt. Eng.2002, 41(12):3288-3297 [7] Nielsen A A, Conradsen K, and Simpson J J. Multivariatealteration detection(MAD) and MAF processing in multispectral,bitemporal image data: New approaches to changedetection studies[J].Remote Sensing Environ.1998, 64(1):1-19 [8] Bruzzone L and Prieto D F. An adaptive semiparametric andcontext-based approach to unsupervised change detectionmultitemporal remote-sensing Images. IEEE Trans. on ImageProcessing, 2002, 11(4): 452-466. [9] Bazi Y, Bruzzone L, and Melgani F. An unsupervisedapproach based on the generalized Gaussian model toautomatic change detection in multitemporal SAR images[J].IEEE Trans. on Geosci and Remote Sensing.2005, 43(4):874-887 [10] Wiemker D. An iterative spectral-spatial Bayesian labelingapproach for unsupervised robust change detection onremotely sensed multispectral imagery[J].Proceedings of the7th Int. Conf. on Computer Analysis of Images and Patterns.1997, 1296:263-270 [11] Kasetkasem T and Varshney P K. An image change detectionalgorithm based on Markov random field models[J].IEEE Trans.on Geosci and Remote Sensing.2002, 40(8):1815-1823 [12] Hammersley J M and Clifford P. Markov field on finite graphsand lattices. Unpublished manuscript, 1971. [13] Kashyap R and Chellappa R. Estimation and choice ofneighbors in spatial interaction models of images, IEEETrans. on Inf. Theory, 1983, IT-29(1): 60-72. [14] Geman S and Geman D. Stochastic relaxation, Gibbsdistributions and the Bayesian restoration of images. IEEETrans. on Pattern Anal. Machine Intell, 1984, MPAI-6(6):721-741. [15] Li S Z, Rao C R, and Shanbhag D N. Modeling image analysisproblems using Markov random fields. Stochastic Processes:Modeling and Simulation, 2000, 20(5): 1-43. [16] Jianchang M and Anil K J. Texture classification andsegmentation using multiresolution simultaneousautoregressive models [J].Pattern Recognition.1992, 25(2):173-188 [17] Kirkpatrick S, Gelatt C D, and Vecchi Jr M P. Optimizationby simulated annealing[J].Science.1983, 220(4598):671-680
|