In order to overcome the deficiencies of traditional remote sensing image classification methods which spatial autocorrelation, classification fuzziness and spatial representation of classification error have not been considered, neighborhood EM algorithm considering spatial autocorrelation and classification fuzziness was adopted to classify the multi-spectrum remote sensing images. 针对传统遥感图像分类方法缺乏考虑空间自相关性、分类模糊性以及分类误差的空间表达的缺点,采用顾及空间数据的空间自相关性和分类模糊性的邻域EM算法进行多光谱遥感图像分类。