关键词: 自动目标识别, 遗传算法, 主成分分析, 双阈值CFAR分割, 合成孔状雷达

Abstract: An effective approach for automatic target recognition in SAR（Synthetic Aperture Radar） images is proposed.The SAR targets are segmented by a double CFAR（Constant False Alarm Rate） segmentation method for SAR targets.With the space local features and overall PCA（Prinicpal Component Analysis） features extract from the SAR images，the targets are recognized by the method based on parameter learning and a combination of genetic algorithm optimization on the classifier.This method does calculation on the original image directly，avoids mass problems of compute depending on the data model.The result shows that the automatic target recognition method based on genetic algorithm performs well to targets T-72 and BMP2.

Key words: automatic target recognition, genetic algorithm, Prinicpal Component Analysis（PCA）, double CFAR segmentation, Synthetic Aperture Radar（SAR）