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GPS - derived Geoid Using Artificial Neural Network and Least Squares Collocation
Stopar, Bojan (Avtor), Ambrožič, Tomaž (Avtor), Kuhar, Miran (Avtor), Turk, Goran (Avtor)

URLURL - Predstavitvena datoteka, za dostop obiščite http://drugg.fgg.uni-lj.si/3374/ Novo okno
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Izvleček
The geoidal undulations are needed for determining the orthometric heights from the Global Positioning System GPS-derived ellipsoidal heights. There ore several methods for geoidal undulation determination. The paper presents a method employing the Artificial Neural Network (ANN) approximation together with the Least Squares Collocation (LSC). The surface obtained by the ANN approximation is used as a trend surface in the least squares collocation. In numerical examples four surfaces were compared: the global geopotential model (EGM96), the European gravimetric quasigeoid 1997 (EGG97), the surface approximated with minimum curvature splines in tension algorithm and the ANN surface approximation. The effectiveness of the ANN surface approximation depends on the number of control points. If the number of well-distributed control points is sufficiently large, the results are better than those obtained by the minimum curvature algorithm and comparable to those obtained by the EGG97 model.

Jezik:Angleški jezik
Ključne besede:geoid, ANN, collocation
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FGG - Fakulteta za gradbeništvo in geodezijo
Leto izida:2006
Založnik:Maney Publishing
Št. strani:str. 513-524
Številčenje:Vol. 38, No. 300
UDK:528
ISSN pri članku:0039-6265
COBISS.SI-ID:3080289 Povezava se odpre v novem oknu
Število ogledov:235
Število prenosov:50
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
 
Skupna ocena:(0 glasov)
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Gradivo je del revije

Naslov:Survey review
Skrajšan naslov:Surv. rev. - Dir. Overseas Surv.
Založnik:Directorate of Overseas Surveys of the Ministry of Overseas Development
ISSN:0039-6265
COBISS.SI-ID:26484224 Novo okno

Sekundarni jezik

Jezik:Angleški jezik
Ključne besede:geoid, ANN, kolokacija

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