摘要
阐述了SAR层析成像的基本原理,提出了基于Butterworth滤波的奇异值分解层析算法。利用柏林市高分辨率TerraSAR-X数据进行实验,提取了SAR像元内散射体的数量、位置及反射量,实现了星载高分辨率SAR真实数据层析成像,高程向估计精度达到米级。
After the launch of the new generation high-resolution SAR satellites, high quality SAR da-ta of up to meter resolution became available. However, severe layover problems occur especially in complicated scenarios like dense urban areas, which make high-resolution data interpretation more dif- ficult. SAR tomography（TomoSAR） aims at retrieving distribution of scatterers in the elevation direc- tion and retrieving the corresponding reflectivity inside one resolution cell. In this way, TomoSAR can achieve real and unambiguous 3D reconstruction. First the basic principles of SAR tomography are illustrated. Then, a Butterworth filter based singular value decomposition method is proposed for To- moSAR processing. Third, experimental results about Berlin Debis Tower are analyzed in detail by comparing them with real building heights, the estimation precision reaches the meter level.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2014年第5期536-540,共5页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(41174120
61331016)
高等学校博士学科点专项科研基金资助项目(20110141110057)
中央高校基本科研业务费专项资金资助项目(201161902020006)~~
