摘要
提出了一种对SAR(syntheticapertureradar)图像中的车辆和车辆群目标进行识别的综合方法。它利用SAR图像所具有的统计特性、CFAR检测和数学形态学方法相结合对SAR图像进行预处理和目标分割。找到了一组能够正确表示SAR图像中车辆和车辆群目标的单体不变特征和组合不变特征,给出了相应的目标分类和识别算法、参数选择方法及优化参数。实验证明该方法具有良好的识别效果。
A synthesis method for recognizing vehicle and vehicle group targets in synthetic aperture radar (SAR) images has been given. The pretreatment and target segmentation of SAR images have been achieved by means of the combination of statistic characterization, CFAR detection and morphology of SAR images. A group of individual and combinatorial invariable features which can rightly express vehicle and vehicle group targets in SAR images are found, the corresponding target classifying and recognizing algorithms, the method of parameter selection and the optimal parameters are also given. Experiments have proved that the method possesses good recognition effect.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2004年第2期143-146,162,共5页
Systems Engineering and Electronics
基金
信号采集与处理国家重点实验室基金资助课题
