基于高分辨距离像时频域稀疏表示的微波遥感目标识别研究

项目名称： 基于高分辨距离像时频域稀疏表示的微波遥感目标识别研究

项目编号： No.61301224

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 张新征

作者单位： 重庆大学

项目金额： 24万元

中文摘要： 高分辨率微波成像（SAR）对地观测系统的发展，对微波图像目标解译提出了重大需求。目标识别是微波图像目标解译的核心技术之一。为了克服图像失真或模糊等带来的图像域识别困难，采用高分辨距离像识别目标是有效途径。申请人前期研究发现，高分辨距离像在时频域中不仅能有效的揭示目标各种复杂散射机理，而且具有稀疏性、局部性特点。因此提出"基于高分辨距离像时频域稀疏表示的微波遥感目标识别"研究课题。具体内容包括：将目标SAR图像转换为高分辨率距离像，然后采用AGR方法获得距离像时频图数据；研究时频图稀疏表示建模方法；构造既有重构能力又有目标鉴别能力的时频图字典学习模型；基于时频图稀疏表示研究SAR目标识别算法；利用MSTAR公开发布SAR数据开展目标识别实验，分析识别性能。本项目研究旨在建立SAR目标高分辨距离像时频域稀疏表示模型，为微波遥感图像识别提供新方法，为高分辨率微波遥感对地观测数据解译提供技术支撑。

中文关键词： 合成孔径雷达；目标识别；时频分析；稀疏表示；距离像

英文摘要： A major demand of the microwave imagery target interpretation has been put forward by the development of high-resolution microwave imaging Earth observation system, such as synthetic aperture radar (SAR). Target classification is one of the key techniques of microwave imagery target interpretation. To circumvent the SAR images distortion problem, an alternative approach to target classification using one-dimensional high range resolution profiles (HRRP) had been proposed as a potential solution. Preliminary studies by the applicant showed that the time-frequency domain of HRRP can reveal various target complex scattering mechnism effectively which is sparsity and locality. So, the research project is proposed as "Microwave remote sensing target classification based on HRRP time-frequency domain sparse representation ". The research content is as follows.Firstly, the conversion from all SAR target complex images to HRRPs is performed. Then time-frequency maps of all HRRPs are obtained using adaptive Gaussian representation (AGR) method. How to model the time-frequency maps using sparse representation theory is investigated. On the basis of the sparse representation model of the time-frequency map, we construct dictionary learning model with both reconstruction ability and discrimination ability. The targets cla

英文关键词： SAR；target recognition；time-frequency；sparse representation；range profile