基于Sentinel-1A TOPS模式的南通市时序InSAR地表沉降监测  

Land Subsidence Detection of Nantong Area Based on Sentinel-1A TOPS by Using Time Series of InSAR Data

作　　者：范雪婷[1] 王玮[1] 李梦梦 FAN Xueting;WANG Wei;LI Mengmeng(Provincial Geomatics Centre of Jiangsu,Nanjing 210013,China)

机构地区：[1]江苏省基础地理信息中心,江苏南京210013

出　　处：《地理信息世界》2020年第5期129-133,139,共6页Geomatics World

基　　金：江苏省测绘地理信息科研项目(JSCHKY201924)资助。

摘　　要：针对Sentinel-1A TOPS(Terrain Observation by Progressive Scans)模式数据配准问题,采用基于精轨数据、强度互相关、递进式增强谱分集的多级配准方法优化MCTSB-InSAR技术,以52景Sentinel-1A影像为实验数据,提取南通市地表沉降信息,并利用水准观测数据对监测结果进行精度评定,结合地理国情监测数据,详细分析了南通市重点沉降区的地面沉降时空分布特征和主要沉降成因。结果表明,优化后的MCTSB-InSAR技术能较好地处理Sentinel-1A TOPS模式数据,监测结果与水准数据基本一致,通过分析各沉降区原因,可为南通市后期规划建设和灾害防治提供参考。Aiming to solve the mode data registration problem of Sentinel-1A TOPS(Terrain Observation by Progressive Scans),MCTSB-InSAR technology was improved by multistage registration method,based on precise orbit data,strength cross-correlation and progressive enhanced spectral diversity(PESD).This paper used 52 images of Sentinel-1A to extract land subsidence information of Nantong city.The standard level-observations were used to assess the accuracy of InSARbased technology.Combined with the monitoring data of geographical conditions,the spatial and temporal distribution characteristics and main causes of the land subsidence in the key subsidence area of Nantong city are analyzed in details.The results show that the Sentinel-1A TOPS model data can be processed well by the optimized MCTSB-InSAR technology,and the monitoring results are basically consistent with the leveling observation data.The subsidence causes in each area may provide reference for the later planning and disaster prevention of Nantong.

关 键 词：Sentinel-1A TOPS模式 多级配准 南通市 沉降监测 地理国情 

分 类 号：TU198.6[建筑科学—建筑理论]