Towards Automatic Detection of Erroneous Measurement Results in a Gravity Database

Authors

Qian Wen
Ann Q. Gates, The University of Texas at El PasoFollow
Jan Beck
Vladik Kreinovich, The University of Texas at El PasoFollow
George R. Keller, The University of Texas at El PasoFollow

Publication Date

6-2001

Comments

UTEP-CS-01-17a.

Published in Proceedings of the 2001 IEEE Systems, Man, and Cybernetics Conference, Tucson, Arizona, October 7-10, 2001, pp. 2170-2175.

Abstract

Geospatial databases often contain erroneous measurements. For some such databases such as gravity databases, the known methods of detecting erroneous measurements -- based on regression analysis -- do not work well. As a result, to clean such databases, experts use manual methods which are very time-consuming. In this paper, we propose a (natural) "localized" version of regression analysis as a technique for automatic cleaning. We illustrate the efficiency of this technique on the example of the gravity database.