基于COSMO-Skymed数据的城市建筑物层析SAR成像算法对比  

Comparison of Algorithm to the Urban Building TomoSAR Reconstructed Based on COSMO-Skymed Data

作　　者：李林泽 庞蕾 刘慧[2] LI Lize;PANG Lei;LIU Hui(School of Geomatics and Urban Spatial Information,Beijing University of Civil Engineering and Architecture,Beijing 102616,China;Telecommunications Institute,Beijing University of Civil Engineering and Architecture,Beijing 102616,China)

机构地区：[1]北京建筑大学测绘与城市空间信息学院,北京102616 [2]北京建筑大学电信学院,北京102616

出　　处：《北京测绘》2018年第3期353-358,共6页Beijing Surveying and Mapping

摘　　要：通过合成孔径雷达(SAR)图像中重建建筑物和其他城市目标的方法,因其不受太阳光照射的影响和全天候能力,在许多遥感应用中具有很大的实际意义。并且通过星载传感器获取的高分辨率(VHR)的SAR图像获取的也能够监测大面积从而显著降低检测成本。目前比较常用于层析SAR三维重建的SAR影像来源主要有德国的Terra-SAR卫星以及意大利的COSMO卫星。本文通过现有的41景北京地区的通过COSMO卫星获取的SAR影像数据对几种层析SAR算法进行对比分析,通过对几种成像算法得出的实验结果进行对比分析后,分析了压缩感知算法与其他几种算法相比的优势以及后续需要继续改进的方面。Method for reconstructing buildings and other urban targets through synthetic aperture radar(SAR)images.In many remote sensing applications,it has great practical significance,because it is not affected by sunlight and has all-weather capability,Moreover,the high resolution(VHR)SAR images acquired by on-board sensors can monitor large areas,thus significantly reducing the detection cost.At present,SAR images are more commonly used for tomographic SAR 3D reconstruction,mainly from the German Terra-SAR satellite and the COSMO satellite in Italy.In this paper,we compare and analyze several Tomographic SAR algorithms based on the existing SAR image data obtained by COSMO satellite in 41 scenes of Beijing.After comparing and analyzing the experimental results of several imaging algorithms,the advantages of the compressed sensing algorithm compared with several other algorithms and the subsequent improvements are analyzed.

关 键 词：COSMO 层析SAR 频率谱估计 压缩感知 城市建筑物 

分 类 号：P208[天文地球—地图制图学与地理信息工程] P231.5[天文地球—测绘科学与技术]