Abstract:Aiming at the problem that the central node of the multi-quadric function fitting method is difficult to select, we introduce the method of the ant colony algorithm into the multi-quadric function and construct the high-precision fitting model with robust estimation.The ant colony algorithm is used to find feature points in complex terrain, and combines several non-feature points together as a central node in the construction model. Robustness is added to the multi-faceted function, and the effect of gross error on the fitting model is eliminated using the iterative method.GPS elevation fitting data processing example shows that the fitting method of multi-quadric function and robust estimation based on ant colony algorithm effectively eliminates the influence of gross error, fitting precision is improved by 26%.
PU Lun,TANG Shihua,ZHANG Ziping et al. Application of Multi-Quadric Function Based on Ant Colony Algorithm in GPS Elevation Fitting[J]. jgg, 2019, 39(1): 31-35.