A Study of Improving Traditional 2nd Curve Surface Fitting Local Geoid by Particle Swarm Optimization

• Main Authors: Chia-Ling Chen, 陳佳菱
• Other Authors: 高書屏
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/45529212255641903026

碩士 === 國立中興大學 === 土木工程學系所 === 100 === This study combines the existing 1st order leveling data of Taichung and the GPS RTK surveying about plane coordinates and ellipsoid height, adopting Particle Swarm Optimization to improve the fitting local geoid by traditional 2nd curve surface, and compare to Genetic Algorithms and other methods, then discussing on the integrality and the localization, with the changing of position and quantity of the referencing points, to build the best regional geoid model. According to the experiment, the obtained result of using Particle Swarm Optimization computed for the Root Mean Square Error is about ±1.02cm, without any parameter, and the implementation speed is fast, this study not only provides a fast practical method in getting orthometric height, but also be used as an academic reference for a different method to establish the local geoid model.