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.
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.
