USING PARTICLE SWARM OPTIMIZATION TO ESTABLISH A LOCAL GEOMETRIC GEOID MODEL

Autores

  • Szu-Pyng Kao UFPR
  • Fang-Shii Ning National Chengchi University
  • Chao-Nan Chen National Chung Hsing University
  • Chia-Ling Chen National Chung Hsing University

Palavras-chave:

Particle swarm optimization (PSO), Quadratic surface fitting, Ellipsoidal height, Orthometric height

Resumo

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 bench marks 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 ±1.02cmthe Cartography produced: General Map, Partial Maps, Profile, Cross Sections and others.

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Publicado

2017-07-31

Como Citar

Kao, S.-P., Ning, F.-S., Chen, C.-N., & Chen, C.-L. (2017). USING PARTICLE SWARM OPTIMIZATION TO ESTABLISH A LOCAL GEOMETRIC GEOID MODEL. Boletim De Ciências Geodésicas, 23(2). Recuperado de https://revistas.ufpr.br/bcg/article/view/52786

Edição

v. 23 n. 2 (2017)

Seção

Artigos

Licença

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