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Correlation of coordinate transformation parameters 被引量:1

Correlation of coordinate transformation parameters
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摘要 Coordinate transformation parameters between two spatial Cartesian coordinate systems can be solved from the positions of non-colinear corresponding points. Based on the characteristics of translation, rotation and zoom components of the transformation, the complete solution is divided into three steps. Firstly, positional vectors are regulated with respect to the centroid of sets of points in order to separate the translation compo- nents. Secondly, the scale coefficient and rotation matrix are derived from the regulated positions independent- ly and correlations among transformation model parameters are analyzed. It is indicated that this method is applicable to other sets of non-position data to separate the respective attributions for transformation parameters. Coordinate transformation parameters between two spatial Cartesian coordinate systems can be solved from the positions of non-colinear corresponding points. Based on the characteristics of translation, rotation and zoom components of the transformation, the complete solution is divided into three steps. Firstly, positional vectors are regulated with respect to the centroid of sets of points in order to separate the translation compo- nents. Secondly, the scale coefficient and rotation matrix are derived from the regulated positions independent- ly and correlations among transformation model parameters are analyzed. It is indicated that this method is applicable to other sets of non-position data to separate the respective attributions for transformation parameters.
出处 《Geodesy and Geodynamics》 2012年第1期34-38,共5页 大地测量与地球动力学(英文版)
基金 supported by the National Natural Science Foundation of China(41174025,41174026)
关键词 coordinate transformation model Bursa model orthnormal matrix singular value decomposition (SVD) CORRELATION coordinate transformation model Bursa model orthnormal matrix singular value decomposition (SVD) correlation
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