基于信息熵和DCS的多基线SAR干涉理论与新方法研究

项目名称： 基于信息熵和DCS的多基线SAR干涉理论与新方法研究

项目编号： No.61471020

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 徐华平

作者单位： 北京航空航天大学

项目金额： 78万元

中文摘要： 面向复杂地形的高精度测绘与形变监测，针对目前星载SAR基线数目少、长度受限，多基线系统性能模型难以构建，坡度较大或突变地形干涉测量困难等瓶颈问题，本项目将信息熵和分布式压缩感知理论(DCS)引入多基线SAR干涉技术，深入分析基线与信号频率的关系，基于信息熵构建多基线SAR干涉性能理论模型；揭示SAR图像联合稀疏特性的一般规律，建立稀疏度与信息熵之间的映射关系，研究多基线优化设计方法和layover区域地形信息解算方法；突破基于信息熵的多基线SAR干涉复图像信号DCS联合稀疏建模、有约束星载SAR干涉基线矢量序列优化以及有噪条件下多基线SAR干涉相位信息联合稀疏重构等关键技术；实现多基线SAR干涉从基线到数据处理的全过程优化。提出的多基线SAR干涉系统理论模型和优化方法，能够解决复杂地形的干涉测量问题，降低对基线的要求，提高干涉测量精度，为提升SAR干涉测绘能力奠定一定的技术基础。

中文关键词： 合成孔径雷达；干涉；基线；压缩感知；信息熵

英文摘要： When using multi-baseline synthetic aperture radar (SAR) interferometry techniques to measure the topography of a rough surface and to detect changes of the surface, we will come across problems caused by the limit of the number of the phase centers and the length of baselines and the large slope terrian. This project introduces the information entropy and distributed compressive sensing (DCS) theory to multibaseline SAR interferometry, derives the quantitative relationship between the baseline and the signal frequency, establishes the system theory models of multibaseline SAR, explores the joint sparsity of the complex SAR images, models the mapping from the entropy to the sparsity, studys the method to design multi baselines and the solution to separate the layover; presents the joint sparsity models of SAR images for DCS, a method for optimizing the sequence of multi-baseline SAR baselines vector and a reconstruction for mutibaseline SAR interferometric phases with noise; implements the optimization during the whole process for multibaseline SAR interferometry. The proposed theory and methods will have many advantages for complicated terrain interferometry such as improving the precision and reducing the baseline requirements.

英文关键词： SAR;interferometry;baseline;CS;entropy