NDLI: Visualising Full Tensor Gradient Gravity Data Using Texture and Colour Cues

Content Provider	IEEE Xplore Digital Library
Author	Wedge, D. Sivarajah, Y. Holden, E.-J. Kovesi, P. Johnston, P. Wijns, C.
Copyright Year	2012
Abstract	Full Tensor Gradient (FTG) gravity data measures the derivatives of the Earth's gravitational field. Such variations in the gravitational field may be due to the presence of bodies of higher or lower density relative to the surrounding rock. Recent technological advances have made airborne measurement of FTG data possible, resulting in the rapid collection of vast quantites of data particularly for mineral, oil and gas exploration purposes. As the gravity tensor contains 5 independent components, effective visualisation of this high-dimensional dataset is advantageous for efficient processing of the FTG data. We present an algorithm for visualising FTG gravity datasets which displays local lateral orientations encoded in the FTG data. It uses a colour map to highlight geologically significant structures such as linear features and radially symmetric points by identifying different geological features and using colour components to represent different feature types. We demonstrate the applicability of the algorithm on two datasets: one synthetic dataset with various levels of noise, and one real-world dataset.
Starting Page	1
Ending Page	8
File Size	3868736
Page Count	8
File Format	PDF
ISBN	9781467321808
e-ISBN	9781467321815
e-ISBN	9781467321792
DOI	10.1109/DICTA.2012.6411716
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tensile stress Image color analysis Geology Noise Data visualization Eigenvalues and eigenfunctions Gravity
Content Type	Text
Resource Type	Article

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