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Combined Method of Datum Transformation Between Different Coordinate Systems
引用本文:王晓妮 张洁 等. Combined Method of Datum Transformation Between Different Coordinate Systems[J]. 地球空间信息科学学报, 2002, 5(4): 5-9. DOI: 10.1007/BF02826467
作者姓名:王晓妮 张洁 等
作者单位:Xi'an Research Institute of Surveying and Mapping,1 Middle Yanta Road,Xi'an 710054,China   
基金项目:ProjectsupportedbytheNaturalScienceFoundationofChina (4982 51 0 7),andpartlysupportedbytheNationalClimbingProgramofChinaaswellastheScientif icResearchFoundationfortheReturnedOverseasChineseScholars,MinistryofEducation.
摘    要:The similarity transformation model between different coordinate systems is not accurate enough to describe the discrepancy of them.Therefore,the coordinate transformation from the coordinate frame with poor accuracy to that with high accuracy caanot guarantee a high precision of transformation.In this paper,a combined method of similarity tranformation and regressive approximating is presented.The local error accumulation and distortion are taken into consideration and the precision of coordinate system is improved by using the recommended method.

关 键 词:坐标系 相似变换 回归模拟 卫星激光测距 GPS 全球定位系统 甚长基线干涉测量 定位精度

Combined method of datum transformation between different coordinate systems
Yang Yuanxi,Xu Tianhe. Combined method of datum transformation between different coordinate systems[J]. Geo-Spatial Information Science, 2002, 5(4): 5-9. DOI: 10.1007/BF02826467
Authors:Yang Yuanxi  Xu Tianhe
Affiliation:YANG Yuanxi XU Tianhe
Abstract:The similarity transformation model between different coordinate systems is not accurate enough to describe the discrepancy of them.Therefore,the coordinate transformation from the coordinate frame with poor accuracy to that with high accuracy cannot guarantee a high precision of transformation.In this paper,a combined method of similarity transformation and regressive approximating is presented.The local error accumulation and distortion are taken into consideration and the precision of coordinate system is improved by using the recommended method
Keywords:coordinate transformation  similarity transformation  regressive approximating
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