Abstract: A target detection method in SAR images series is proposed. The first frame SAR image is segment by using Maximum A Posteriori(MAP) rules, in which the paramount is got. On this basis, the image is detected. The latter frame image is detected with the information and paramount vector got in former one. The paramount vector of the pigeons data is modified. Simulation experiemtal results show this method has better performance of target segmentation.

Key words: SAR images series, mixture Gaussian distribution, Maximum A Posteriori(MAP), target detection

摘要： 提出一种合成孔径雷达(SAR)图像序列目标检测方法，采用最大后验概率准则完成第1帧SAR图像的目标提取，同时获得所需参数向量。在此基础上，对图像进行目标检测，利用前一帧图像的目标检测信息和参数向量，实现后一帧图像的目标检测，并对SAR图像杂波数据的参数向量进行修正。仿真实验结果说明，该方法具有良好的目标分割性能。

关键词: SAR图像序列, 混合高斯分布, 最大后验概率, 目标检测

CLC Number: 

• TP391.72