- Tytuł:
- Study on detection of gross error in geodetic network adjustment
- Autorzy:
-
Kim, J. H.
Kim, C. J.
Li, R. J. - Powiązania:
- https://bibliotekanauki.pl/articles/145352.pdf
- Data publikacji:
- 2018
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
sieć geodezyjna
sieć triangulacyjna
geodezja satelitarna
geodetic network adjustment
gross error
robust estimation
equivalent weight - Opis:
- Generally, gross errors exist in observations, and they affect the accuracy of results. We review methods to detect the gross errors by Robust estimation method based on L1-estimation theory and their validity in adjustment of geodetic networks with different condition. In order to detect the gross errors, we transform the weight of accidental model into equivalent one using not standardized residual but residual of observation, and apply this method to adjustment computation of triangulation network, traverse network, satellite geodetic network and so on. In triangulation network, we use a method of transforming into equivalent weight by residual and detect gross error in parameter adjustment without and with condition. The result from proposed method is compared with the one from using standardized residual as equivalent weight. In traverse network, we decide the weight by Helmert variance component estimation, and then detect gross errors and compare by the same way with triangulation network In satellite geodetic network in which observations are correlated, we detect gross errors transforming into equivalent correlation matrix by residual and variance inflation factor and the result is also compared with the result from using standardized residual. The results of detection are shown that it is more convenient and effective to detect gross errors by residual in geodetic network adjustment of various forms than detection by standardized residual.
- Źródło:
-
Geodesy and Cartography; 2018, 67, 1; 57-69
2080-6736
2300-2581 - Pojawia się w:
- Geodesy and Cartography
- Dostawca treści:
- Biblioteka Nauki
Artykuł