高分辨率SAR层析成像建筑物叠掩散射体提取

Layover Building Scatterers Extraction via High-ResolutionSpaceborne SAR Tomography

  • 摘要: 目的 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。

     

    Abstract: Objective 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 incomplicated 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,TomoSARcan achieve real and unambiguous 3Dreconstruction.First the basic principles of SAR tomography areillustrated.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 bycomparing them with real building heights,the estimation precision reaches the meter level.

     

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