Towards automatic detection of erroneous measurement results in a gravity database

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-cons...

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Bibliographic Details
Published in:2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236) Vol. 4; pp. 2170 - 2175 vol.4
Main Authors: Qian Wen, Gates, A.Q., Beck, J., Kreinovich, V., Keller, G.R.
Format: Conference Proceeding
Language:English
Published: IEEE 2001
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Summary: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.
ISBN:0780370872
9780780370876
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2001.972877