Abstract:

Checking and detecting the gross error before the adjustment is necessary for processing data in geodesy. If the set of measurement includes gross error it will seriously affect the final result. Due to the processing data used the robust estimation, gross and random errors in the stochastic model are calculated by iterative process using weights to determine the location and value of the gross error. This method can achieve a high effect according to networks that are complicated configuration and many redundant observations. Experimental calculation shows the ability of this method that is reliable for detecting outliers. The robust estimation should use for practical geodesy.