GPS - derived Geoid Using Artificial Neural Network and Least Squares Collocation
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.
geoid
ANN
collocation
geoid
ANN
kolokacija
true
false
false
Maney Publishing
Angleški jezik
Angleški jezik
Neznano
2015-07-10 10:12:08
2015-07-10 10:12:08
2021-04-21 12:27:14
0000-00-00 00:00:00
2006
0
0
Str. 513-524
No. 300
Vol. 38
2006
0000-00-00
NiDoloceno
NiDoloceno
NiDoloceno
528
0039-6265
3080289
26484224
http://drugg.fgg.uni-lj.si/3374/
1
https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=32130
SReview_ANN_n.pdf
SReview_ANN_n.pdf
1
5EE27764E24E77A1B213BD8F307DD972
4e68491aad63e41c501faef8995a571ab7c1825a4f0fc2db0a8d5566ef7871cc
0f920118-a1ae-11eb-a523-00155dcfd717
https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=85629
Fakulteta za gradbeništvo in geodezijo