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政大機構典藏 > 社會科學學院 > 地政學系 > 期刊論文 > Item 140.119/110730

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 連結:	http://dx.doi.org/10.1590/S1982-21702017000200021
DOI:	10.1590/S1982-21702017000200021
Appears in Collections:	[地政學系] 期刊論文

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