ON POSITION OF GROSS ERRORS OF COMMON POINTS IN
COORDINATE TRANSFORMATION AND REDUCING
INFLUENCE OF GROSS ERRORS
School of Civil Engineering Central South University，Changsha 410004
Abstract A method was presented in which variance after total least square adjustment and the variance ratio test are used to be used for position of gross errors of common points and reducing its influence in coordinate transformation with BurseWolf model. The method combined by hypothesis test with weightreducing iteration can fit for the cases in which gross errors can not be eliminated directly. In this way, the influence of gross errors is reduced and the precision of coordinate transformation is improved. Some examples prove that this method is practical and effective.
Key words ：
coordinate transformation
Burse-Wolf model
gross errors of common points
method of variance ratio test
weight-reducing iteration
Received: 18 August 2013
Published: 23 January 2014
Cite this article:
Wu Zuhai,Luo Weizhao,Li Jun. ON POSITION OF GROSS ERRORS OF COMMON POINTS IN
COORDINATE TRANSFORMATION AND REDUCING
INFLUENCE OF GROSS ERRORS[J]. jgg, 2014, 34(1): 118-122.
Wu Zuhai,Luo Weizhao,Li Jun. ON POSITION OF GROSS ERRORS OF COMMON POINTS IN
COORDINATE TRANSFORMATION AND REDUCING
INFLUENCE OF GROSS ERRORS[J]. jgg, 2014, 34(1): 118-122.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2014/V34/I1/118
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