Optimization Model for GPS Height Fitting Considering of AIC

Polynomial fitting method is widely used in GPS height conversion into normal heights in survey engineering and whcih has become a hotspot. Different models used in different area of interpolation have different precisions, therefore, it is very important to optimize model before GPS height conversion in order to obtain high precision. Lots of engineering practice has proven that The conicoid model could satisfied forth degree demand, but there is no proof why the conicoid model is better. So, the paper introduce AIC to choose the better model for transforming GPS height, we separate the value of AIC into two parts, AIC_in and AIC_out, then add them up to obtain the total value, AIC_total, which could testify which model is the best model comparing with the relative information. The experiments show that the optimization model for GPS height fitting considering of AIC criterion is valid and something useful is concluded.