信号处理2025，Vol.41Issue(8)：1348-1357,10.DOI:10.12466/xhcl.2025.08.004
地基层析ArcSAR三维点云生成方法
3D Point-Cloud Generation Method with GB-TomoArcSAR
摘要
Abstract
Severe layover occurs when ground-based interferometric radar is applied to building imaging as a consequence of insufficient elevation resolutions.Tomographic synthetic aperture radar technology offers elevation resolutions and can realize the three-dimensional(3D)imaging of buildings.Ground-based tomographic arc-scanning synthetic aperture radar(GB-TomoArcSAR)controls the antenna to perform circular scanning in the horizontal plane of different pitch angles through a two-axis turntable to obtain the synthetic aperture in the elevation direction and realize 3D tomography.In this study,a 3D point-cloud generation method for GB-TomoArcSAR is proposed.First,a tomography geometric model suitable for arc sampling in the height direction is constructed.Second,a singular value decomposition method based on the Butterworth filter is used to estimate the spectrum,obtain the peak value in the tomography spectrum and its corresponding peak position,and form the candidate set for the tomography target.Subsequently,a sequential generalized likelihood ratio test with a cancellation detector is performed to estimate the number and position of scatterers,whereas the peak value of the actual target and the corresponding peak position are selected from the candidate set by setting the detection threshold.Finally,a point-cloud optimization method based on spatial geometric distribution is used to eliminate error points and generate a point-cloud image.Simulation experiments involving point and surface targets demonstrate the suitability of the proposed method for GB-TomoArcSAR and its effectiveness in solving the layover of multiscatterer targets in the elevation direction.Additionally,the measured data are verified.Based on the proposed method,the tomographic point cloud of a building foundation pit in Beijing is obtained,which shows consistency with the geometric characteristics of the actual scene.关键词
地基层析ArcSAR/三维点云生成/奇异值分解/顺序广义似然比/点云优化Key words
ground-based tomographic arc-scanning synthetic aperture radar/3D point-cloud generation/singular value decomposition/sequential generalized likelihood ratio test with cancellation/point-cloud optimization分类
信息技术与安全科学引用本文复制引用
田卫明,晏凯,高嵩,周涵璞,邓云开..地基层析ArcSAR三维点云生成方法[J].信号处理,2025,41(8):1348-1357,10.基金项目
国家重点研发计划(2021YFC3001903) （2021YFC3001903）
中建股份科技研发课题(CSCEC-2022-Z-4)National Key Research and Development Program(2021YFC3001903) （CSCEC-2022-Z-4）
Research and Development Project of China State Construction Engineering Corporation Limited(CSCEC-2022-Z-4) （CSCEC-2022-Z-4）
