[1] 林雨准,张保明,王丹菂,等.多特征融合的高分辨率遥感影像建筑物分级提取[J].中国图象图形学报,2017,22(12):1798-1808. LIN Yu-zhun,ZHANG Bao-ming,WANG Dan-di,et al.Hierarchical building extraction from high resolution remote sensing imagery based on multi-feature fusion[J].Journal of Image and Graphics,2017,22(12):1798-1808.(in Chinese)
[2] 赵雪梅,李玉,赵泉华.结合高斯回归模型和隐马尔可夫随机场的模糊聚类图像分割[J].电子与信息学报,2014,36(11):2730-2736. ZHAO Xue-mei,LI Yu,ZHAO Quan-hua.Image segmentation by fuzzy clustering algorithm combining hidden Markov random field and Gaussian regression model[J].Journal of Electronics and Information Technology,2014,36(11):2730-2736.(in Chinese)
[3] MCLACHLAN G J,PEEL D.Finite Mixture Model[M].New York:John Wiley & Sons,2000.1-37.
[4] NGUYEN T M,WU M J.Fast and robust spatially constrained Gaussian mixture model for image segmentation[J].IEEE Transactions on Circuits and Systems for Video Technology,2013,23(4):621-635.
[5] 石雪,李玉,李晓丽,等.融入邻域作用的高斯混合分割模型及简化求解[J].中国图象图形学报,2017,22(12):1758-1768. SHI Xue,LI Yu,LI Xiao-li,et al.Gaussian mixture model with neighbor relationship for image segmentation and simplified solving method[J].Journal of Image and Graphics,2017,22(12):1758-1768.(in Chinese)
[6] 赵泉华,石雪,王玉,等.可变类空间约束高斯混合模型遥感图像分割[J].通信学报,2017,38(2):34-43. ZHAO Quan-hua,SHI Xue,WANG Yu,et al.Remote sensing image segmentation based on spatially constrained Gaussian mixture model with unknown class number[J].Journal on Communications,2017,38(2):34-43.(in Chinese)
[7] NGUYEN T M,WU Q M.Robust student' s-t mixture model with spatial constraints and its application in medical image segmentation[J].IEEE Transactions on Medical Imaging,2012,31(1):103-116.
[8] 赵泉华,李晓丽,赵雪梅,等.基于空间约束Student' s-T混合模型的模糊聚类图像分割[J].控制与决策,2016,31(11):2065-2070. ZHAO Quan-hua,LI Xiao-li,ZHAO Xue-mei,et al.Fuzzy clustering algorithm based on spatially constrained student' s-t mixture model for image segmentation[J].Control and Decision,2016,31(11):2065-2070.(in Chinese)
[9] ZHAO Q H,LI X L,and LI Y.Multilook SAR image segmentation with an unknown number of clusters using a Gamma mixture model and hierarchical clustering[J].Sensors,2017,17(5):1114.
[10] LI X L,ZHAO Q,and LI Y.Multilook SAR intensity image segmentation based on Voronoi tessellation and a Gamma mixture model[J].Remote Sensing Letters,2018,10(3):254-263.
[11] JI Z,HUANG Y,SUN Q,et al.A rough set bounded spatially constrained asymmetric Gaussian mixture model for image segmentation[J].Plos One,2017,12(1):697-708.
[12] NGUYEN T M,WU Q M,ZHANG H.Asymmetric mixture model with simultaneous feature selection and model detection[J].IEEE Transactions on Neural Networks and Learning Systems,2015,26(2):400-408.
[13] WANG Y,LI Y,ZHAO Q H.Segmentation of high resolution SAR image with unknown number of classes based on regular tessellation and RJMCMC algorithm[J].International Journal of Remote Sensing,2015,36(5):17.
[14] 王玉,李玉,赵泉华.利用RJMCMC算法的可变类SAR图像分割[J].信号处理,2014,30(10):1193-1203. Wang Yu,Li Yu,Zhao Quan-hua.SAR image segmentation with variable classes using RJMCMC algorithm[J].Journal of Signal Processing,2014,30(10):1193-1203.(in Chinese)
[15] SCHWARZ G.Estimating the dimension of a model[J].Annals of Statistics,1978,6:461-464.
[16] MEHRJOU A,HOSSEINI R,ARAABI B N.Improved Bayesian information criterion for mixture model selection[J].Pattern Recognition Letters,2016,69:22-27.
[17] BISHOP C M.Pattern Recognition and Machine Learning[M].New York:Springer Science and Business Media,2006. |