基于EM参数“软”估计的SAR图像分割  

SAR Image Segmentation Based on “Soft” Estimation of EM Parameter

作　　者：董刚刚[1] 赵凌君[1] 王娜[1] 蒋咏梅[1] 

机构地区：[1]国防科技大学电子科学与工程学院,长沙410073

出　　处：《现代雷达》2012年第10期41-45,共5页Modern Radar

摘　　要：借助EM算法和模糊理论,提出了一种基于参数"软"估计和Markov随机场的SAR图像无监督分割方法。首先利用多维空间的EM算法估计随机场的模型参数,并根据随机场模型参数分别计算观测数据的条件概率和标记图像的先验概率,继而根据最大后验概率准则将图像分成具有相似统计特性的同质区域,重复以上步骤直至收敛。通过与传统的参数"硬"估计分割算法的实验比较,该算法能更好保持图像边缘细节,区域连通性更好。Using EM algorithm and fuzzy theory, an unsupervised SAR image segmentation method is proposed based on soft param- eter-estimation and MRF model. First, parameters of the random fields are estimated by EM algorithm in multi-dimension fuzzy space, and the conditional probability of the observation data and the prior probability of the label image are calculated using the parameters estimated respectively, then MAP criteria is applied to partition the original image into several regions with similar sta- tistical property. The procedure is repeated until it satisfy the convergent term. Compared with the traditional method based on the hard parameter-estimation, the detail of the original image is better preserved using the method proposed.

关 键 词：EM算法 合成孔径雷达 马尔可夫随机场 无监督分割 

分 类 号：TN957.52[电子电信—信号与信息处理]