摘要
针对地面监测中水准和InSAR数据的优缺点,提出了沉降数据融合算法以及插值计算方法。采用数据融合方法对水准和InSAR进行融合,较好地解决了水准监测数据的时空分辨率低和InSAR数据中部分地区失相干的弊端,使融合后的数据能更好地描述地面沉降的现状,为更好地预测地面沉降的发展趋势,减少沉降灾害对经济社会的危害。天津地区融合算例表明,所提算法较好地解决了单一数据的缺点,融合后的数据拥有了多数据的优点,对后期地面沉降预测提供准确丰富的数据基础。
This paper analyzed advantages and disadvantages of leveling and InSAR in land subsidence.Data fusion algorithm and interpolation calculation were proposed.Data fusion method fusing leveling and InSAR can solve disadvantages of lower spatial and temporal resolution in leveling and coherent using InSAR in part of area.Fusing data can better describe the current situation of land subsidence,and better predict trend of land subsidence,further reduce subsidence disaster harm to economic and social.Fusion example about Tianjin showed that the algorithm could solve the shortcomings of single data.Fusing data had the advantages of multiple data,which could provide a rich data to further predict trend of land subsidence.
出处
《测绘科学》
CSCD
北大核心
2015年第4期121-125,共5页
Science of Surveying and Mapping
基金
国家自然科学基金项目(41274048)