Clustering Analysis of Gravity Data to Compute Local Geoid

Author

Wang Shuwei ; Li Fei ; Shu Chanfang ; Ke Baogui

Author_Institution

Geomatics & Applic. Lab., Liaoning Tech. Univ., Fuxin

Volume

2

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

380

Lastpage

383

Abstract

In this paper, the clustering analysis method is used in the optimization of observed gravity data during the computation of local geoid, while the two slopes of terrain data can be utilized as criteria. Further, a numerical experiment is carried out in hill area. Compared with the result from non-deleted observed gravity data, the deleted data can still work out acceptable result of similar precision. The numerical experiment validates the feasibility of clustering analysis method which provides a new approach to optimize observed gravity data for computing local geoid.

Keywords

data handling; geographic information systems; pattern clustering; clustering analysis; gravity data; local geoid; optimization; Clustering algorithms; Data analysis; Distributed computing; Educational technology; Ellipsoids; Geoscience and remote sensing; Gravity; Optimization methods; Pattern analysis; Statistics; (quasi)geoid; clustering analysis; observed gravity; optimization; slope;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3563-0

Type

conf

DOI

10.1109/ETTandGRS.2008.45

Filename

5070385