The main innovations in this thesis are : ( 1 ) given the notions of mmdm , and argumentations of the approximation ability of the mmdm , ( 2 ) samples competition algorithm and its application to the estimation of the mmdm ' s parameters , ( 3 ) unsupervised segmentation of sar image by the mmdm , ( 4 ) segmentation criteria , ( 5 ) unsupervised sar image segmentation by combining the mmdm and the mar models , ( 6 ) the mar ' s order problems 本論文的創(chuàng)新之處在于: ( 1 )提出mmdm的概念,并論證了混合分布模型的函數(shù)逼近能力; ( 2 )給出了樣本競(jìng)爭(zhēng)算法并用于mmdm的參數(shù)估計(jì)上; ( 3 )分別將mmgm和mmrm分別應(yīng)用于sar圖像無(wú)監(jiān)督分割上,并對(duì)不同分布模型進(jìn)行sar圖像分割的結(jié)果進(jìn)行評(píng)判,給出了評(píng)判標(biāo)準(zhǔn); ( 4 )將mar模型與mmdm模型結(jié)合起來(lái)應(yīng)用于sar圖像的無(wú)監(jiān)督分割上; ( 5 )初步解決了sar圖像的mar模型的定階問(wèn)題。