[1]RIDD M K,LIU J J.A comparison of four algorithms for change detection in an urban environ-ment
[J].Remote Sensing Environment,1998,63(2):95-100.
[2]MAS J F.Monitoring land-cover changes:a comparison of change detection techniques[J].International Journal of Remote Sensing,1999,20(1):139-152.
[3]FRANSSON J E S,WALTER F,BLENNOW K,et al.Detection of storm-damaged forested areas using airborne CARABAS-II VHF SAR image data[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(10):2170-2175.
[4]BAZI Y,BRUZZONE L,MELGANI F.An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images[J].IEEE Trans on Geosci.Remote Sensing,2005,43(4):874-887.
[5]GHOSH S,BRUZZONE L,PATRA S,et al.A context-sensitive technique for unsupervised change detection based on Hopfield-type neural networks[J].IEEE Trans on Geosci.Remote Sensing,2007,45(3):78-789.
[6]ZADEH L A.Fuzzy sets[J].Information and Control,1965(8):338-353.
[7]DUNN J C.A fuzzy relative relative of the ISO DATA process and its use in detecting compact well separated clusters[J].Journal of Cybernetics,1974,3(3):32-57.
[8]BEZDEK J C.Pattern recognition with fuzzy objective function algorithms[M].New York:Plenum Press,1981.
[9]GHOSH S,MISHRA N S,GHOSH A.Unsupervised change detection of remotely sensed images using fuzzy clustering[C].International Conference on Advances in Pattern Recognition,2009:385-388. |