摘要
干涉合成孔径雷达(InSAR)作为一种可获取大范围、高精度地表形变数据的技术,被广泛应用于地质灾害监测和城市沉降分析。然而,现有WebGIS平台在千万级InSAR点云数据与形变时序数据的高效展示、查询与解译方面存在明显不足,制约了InSAR技术的推广与应用。因此,本文针对InSAR点云数据预处理、存储、浏览与查询等关键技术难题,提出了一套面向Web应用的海量InSAR点云高效可视化与查询方法,并基于Cesium开发了原型系统,最后在6类典型应用场景下测试了系统性能。结果显示,所研发的系统能够流畅实现千万级InSAR点云三维形变序列的展示,原型系统不仅实现了InSAR形变数据的便捷化分发和用户可在线查看,而且实现了形变速率剖面查询、多期形变剖面查询、单点时序查询及预警分析等实用功能,该技术为地表沉降分析提供了技术支撑。
Interferometric synthetic aperture radar(InSAR)is widely used in geological hazard monitoring and urban subsidence analysis as a technology that can obtain large-scale and high-precision surface deformation data.However,the existing WebGIS platform has obvious deficiencies in the efficient display,query and interpretation of tens of millions of InSAR point cloud data and deformation time series data,which restricts the promotion and application of InSAR technology.Therefore,in order to solve the key technical problems such as data preprocessing,storage,browsing and query of InSAR point clouds,this paper proposes a set of efficient visualization and query methods for massive InSAR point clouds in the Web environment,and develops a prototype system based on Cesium.By testing the performance of the system in six typical application scenarios,the results show that the developed system can smoothly realize the display of 3D deformation sequences of tens of millions of InSAR point clouds.The prototype system not only realizes the convenient distribution of InSAR deformation data and users can view it online,but also realizes the practical functions of deformation rate profile query,multi-period deformation profile query,single-point time series query and early warning analysis,which provides technical support for surface settlement analysis.
作者
骆晓亮
刘凌佳
罗津
王绿春
余伟
罗赣
高华
LUO Xiaoliang;LIU Lingjia;LUO Jin;WANG Lüchun;YU Wei;LUO Gan;GAO Hua(ZhongYi(Jiangxi)Virtual Reality Technology Co.,Ltd.,Nanchang 330036,China;School of Geography and Environment,Jiangxi Normal University,Nanchang 330022,China;Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of Education,Nanchang 330022,China;Jiangxi Provincial Key Laboratory of Natural Disaster Monitoring,Early Warning and Assessment,Nanchang 330022,China;Jiangxi Provincial Key Laboratory of Intelligent Monitoring and Comprehensive Management of Watershed Ecology,Nanchang 330022,China)
出处
《测绘通报》
北大核心
2026年第1期135-139,共5页
Bulletin of Surveying and Mapping
基金
江西省重点研发计划(20232BBE50021)
江西省自然科学基金(20243BCE51115,20242BAB25175)
国家自然科学基金(42361069,42330108)。
