摘要
SAR图像目标鉴别是SAR ATR研究领域的一项关键技术,旨在去除目标检测后的杂波虚警,以减小目标分类或识别的代价。本文在广泛文献调查的基础上,从SAR图像目标鉴别技术发展的历史沿革、研究现状开始,对SAR图像目标鉴别算法的流派、国内外的实际系统以及目标鉴别达到的性能指标等进行了较为全面的综述。给出了该方面研究的主要结论、展望了需要进一步解决的问题。
Target Discrimination,as a key technology in SAR ATR,is used to reject clutter false alarm after detection processing and reduce the computational cost of classification stage. Based on the extensive investigation of published literatures, this paper begins from the development and current study of the technologies of target discrimination, the discrimination algorithms, the actual systems and the performance of discrimination are reviewed in detail. Some primary summaries are given, and some problems need to be resolved are also indicated.
出处
《信号处理》
CSCD
北大核心
2009年第9期1421-1432,共12页
Journal of Signal Processing
基金
国家自然科学基金项目(No.40801179)
关键词
合成孔径雷达
鉴别
特征提取
特征选择
Synthetic Aperture Radar
Discrimination
Feature Extraction
Feature Selection
