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Application of Multi-Quadric Function Based on Ant Colony Algorithm in GPS Elevation Fitting

PU Lun;TANG Shihua;ZHANG Ziping;HU Xinkai;XIAO Yan;College of Geomatics and Geoinformation,Guilin University of Technology;Guangxi Key Laboratory of Spatial Information and Geomatics;Qinghai Ecological Environment Remote Sensing Monitoring Center;  
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%.
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