摘要
为满足城市建筑物持续且准确的监测需求,结合序贯平差与多时相合成孔径雷达干涉(MT-InSAR)测量技术,提出了一种快速可靠的建筑物形变监测方法,通过二次自适应滤波,降低了噪声对干涉像对的影响。通过MT-InSAR技术获取已有影像的形变量,更新数据后则利用序贯平差进行整体解算,提高了计算效率。利用2022-11-01—2024-07-11阜阳地区50景Sentinel-1数据开展序贯InSAR与传统MT-InSAR的对比研究。结果表明,两种方法的地表形变监测结果基本一致,形变速率和累积形变量的均方根误差均在亚毫米级;序贯InSAR方法耗时较传统方法缩短了51.891 9%。利用序贯InSAR方法持续监测城市建筑物的形变,有利于城市安全风险评估。
To meet the demands for continuous and accurate monitoring of urban buildings,we proposed a rapid and reliable building deformation monitoring method by integrating sequential adjustment with multi-temporal interferometric synthetic aperture radar(MT-InSAR)technology,which employed a two-stage adaptive filtering to mitigate the impact of noise on interferometric image pairs.We used MT-InSAR to obtain the deformation parameters of existing images,and used sequential adjustment for the overall solution,significantly enhancing computational efficiency.We used 50 Sentinel-1 images acquired over Fuyang from November 1,2022,to July 11,2024,to compare sequential InSAR with traditional MT-InSAR techniques.Results demonstrate that both methods yield consistent surface deformation monitoring outcomes,with root mean square errors of deformation speeds and cumulative displacements within the sub-millimeter range.Moreover,the sequential InSAR method reduces computational time by 51.8919%compared to the traditional approach.Continuous monitoring of urban building deformation by sequential InSAR method is conducive to the urban safety risk evaluation.
作者
苏磊
裴媛媛
林鹏
SU Lei;PEI Yuanyuan;LIN Peng(College of Civil Engineering,Anhui Jianzhu University,Hefei 230601,China)
出处
《地理空间信息》
2025年第7期21-26,共6页
Geospatial Information
基金
国家自然科学基金资助项目(42274028)
安徽省科研编制计划资助项目(2022AH050259)
安徽建筑大学科研计划资助项目(JZ202237)。
