PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS ON KRIGING METHOD IN MODELING LOCAL GEOID
Küçük Resim Yok
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
UNIV FEDERAL PARANA, CENTRO POLITECNICO
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Transformation of ellipsoidal heights determined by satellite techniques into local leveling heights requires geoid heights at points of interest. However, the geoid heights at each point are not available. In order to determine them, the local geoid in the transformation area must be modeled or computed by an appropriate method, one way of doing it, is to use control points both of whose ellipsoidal and local leveling heights are available. In this study, performance of geoid by ANN compared to Kriging method in modeling local geoid was presented. Moreover, the transformation ability of the methods was investigated through a geodetic test network in Bursa Metropolitan Area of Turkey. The results suggest that the model by ANN exhibit better results than the one by Kriging Method.
Açıklama
Anahtar Kelimeler
Geoid, Local Geoid Modeling, ANN, Kriging, Transformations
Kaynak
BOLETIM DE CIENCIAS GEODESICAS
WoS Q Değeri
Q4
Scopus Q Değeri
N/A
Cilt
19
Sayı
1
