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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/110730


    Title: Using Particle Swarm Optimization to Establish a Local Geometric Geoid Model
    Authors: 甯方璽
    Kao, Szu-Pyng;Ning, Fang-Shii;Chen, Chao-Nan;Chen, Chia-Ling
    Contributors: 地政系
    Keywords: Particle swarm optimization (PSO);Quadratic surface fitting;Ellipsoidal height;Orthometric height
    Date: 2017-06
    Issue Date: 2017-07-07 15:49:13 (UTC+8)
    Abstract: There exist a number of methods for approximating the local geoid surface and studies carried out to determine a local geoid. In this study, performance of geoid by PSO method in modeling local geoid was presented and analyzed. The ellipsoidal heights (h), derived from GPS observations, and known orthometric heights from first-order benchmarks were first used to create local geometric geoid model, then the PSO method was used to convert ellipsoidal heights into orthometric heights (H). The resulting values were used to compare between the spirit leveling and GPS methods. The adopted PSO method can improve the fitting of local geometric geoid by quadratic surface fitting method, which agrees with the known orthometric heights within ±1.02cm
    Relation: Bulletin of Geodetic Sciences, Vol.23, No.2, pp.327-335
    Boletim de Ciências Geodésicas, Vol.23, No.2, pp.327-335
    Data Type: article
    DOI link: http://dx.doi.org/10.1590/S1982-21702017000200021
    DOI: 10.1590/S1982-21702017000200021
    Appears in Collections:[Department of Land Economics] Periodical Articles

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