摘要
合成孔径雷达(SAR)图像自动目标识别(ATR)是SAR图像解译的关键技术之一,其旨在获取感兴趣区域可能包含的目标类别,为战场情报分析提供有力支撑。文中在广泛阅读相关文献的基础上,从基于模板和基于模型两个方面对现有的SAR图像目标识别方法进行了较为全面的综述,对该方向的主要研究结论进行了归纳总结。同时,针对SAR图像目标识别的潜在方向进行了展望。
Automatic target recognition (ATR) of synthetic aperture radar (SAR) images is one of thekey techniques in SAR image interpretation. SAR ATR aims to determine the target type in a region ofinterest thus providing supports for the battlefield information analysis. Based on the extensiveinvestigation of the published works, this paper conducts a comprehensive survey on the SAR ATRalgorithms from two aspects: template - based methods and model - based methods. Some conclusions aredrawn based on the previous works. Meanwhile, some potential directions of this filed are also stated.
作者
张强
ZHANG Qiang(91550 Troops of PLA,Dalian 116023,Liaoning Province,China)
出处
《信息技术》
2018年第12期157-160,共4页
Information Technology
关键词
合成孔径雷达
自动目标识别
基于模板的方法
基于模型的方法
Synthetic aperture radar
automatic target recognition
template - based methods
model -based methods