中文摘要：

提出了一种顾及空间邻域关系的多时相SAR影像非监督变化检测方法，采用马尔可夫随机场（Markov random field，MRF）模型描述SAR比值差异图像的空间上下文信息，提出了基于该模型的EMMPM非监督变化检测算法。实例研究表明，与未顾及空间上下文信息的EM双阈值算法相比。该方法能够有效地提高变化区域提取的可靠性和准确性。

英文摘要：

This paper proposes an unsupervised change-detection method considering the spatial-contextual information in the SAR log-ratio image. The expectation maximization （EM） algorithm is employed to automatically estimate the statistical parameters associated with changed and unchanged pixels, and the Markov random fields （MRF＇s） model is applied to characterize the contexture dependent information. The experiment results show that the proposed method can improve accuracy and reliability of change-detection process.