NDLI: Edge enhancement of gravity anomalies and gravity gradient tensors using an improved small sub-domain filtering method

Content Provider	Springer Nature Link
Author	Jiang, Fu Yu Gao, Li Kun
Copyright Year	2012
Abstract	In order to enhance geological body boundary visual effects in images and improve interpretation accuracy using gravity and magnetic field data, we propose an improved small sub-domain filtering method to enhance gravity anomalies and gravity gradient tensors. We discuss the effect of Gaussian white noise on the improved small sub-domain filtering method, as well as analyze the effect of window size on geological body edge recognition at different extension directions. Model experiments show that the improved small sub-domain filtering method is less affected by noise, filter window size, and geological body edge direction so it can more accurately depict geological body edges than the conventional small sub-domain filtering method. It also shows that deeply buried body edges can be well delineated through increasing the filter window size. In application, the enhanced gravity anomalies and calculated gravity gradient tensors of the Hulin basin show that the improved small sub-domain filtering can recognize more horizontal fault locations than the conventional method.
Starting Page	119
Ending Page	130
Page Count	12
File Format	PDF
ISSN	16727975
Journal	Applied Geophysics
Volume Number	9
Issue Number	2
e-ISSN	19930658
Language	English
Publisher	Chinese Geophysical Society
Publisher Date	2012-07-20
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Small sub-domain filter gravity gradient tensor edge enhancement gravity anomaly Geotechnical Engineering & Applied Earth Sciences Geophysics/Geodesy
Content Type	Text
Resource Type	Article
Subject	Geophysics

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