摘要
随着合成孔径雷达(SAR)传感器技术的发展和获取信息的增多,如何有效地实现SAR图像的信息提取和解译,是当前亟待解决的关键问题。本文研究和综述了面向识别的SAR目标特性分析技术。首先,从SAR的成像原理出发,深入分析和探讨了影响SAR图像目标特性的主要因素;然后,系统总结了点状目标、线状目标和面状目标的一些特性分析和特征提取技术;最后,对SAR目标识别技术的未来发展方向进行了展望。
With the development of the synthetic aperture radar （SAR） technology, how to extract and interpret the SAR information is more and more important. The SAR target characteristics analysis for target recognition is studied in detail in the paper. Firstly, the factors which have effect on the SAR target characteristics are analyzed. Secondly, the SAR target characteristics analysis and feature extraction of small targets, line targets, and region targets from SAR images are systematically summarized. Finally, the outlook of SAR target recognition is put forward.
出处
《计算机工程与科学》
CSCD
2008年第7期40-46,共7页
Computer Engineering & Science
关键词
合成孔径雷达
目标特性分析
特征提取
synthetic aperture radar （SAR）
target characteristics analysis
feature extraction
