Evaluation of the gravity data using edge detection methods; Case study Eskisehir
Abstract
Edge
enhancement and edge detection methods which are applied to delineate the edges
of the geologic structures play important role for interpreting potential field
data. Derivative-based different methods are used for this purpose. In this
study, Tilt angle (TIA), Theta angle (THA), hyperbolic tilt angle (HTIA), total
horizontal derivative of the tilt angle (THDR-TIA), the normalized horizontal
derivatives (NTHD), and the new normalized total horizontal derivative (NNTHD)
methods were applied to gravity data to determine the geological subsurface
model. First, generated theoretical gravity data was evaluated in order to
analyse the performance of the methods. To understand effect of noise on the
methods, random noise was added to theoretical data and results of the methods
were investigated. Finally, the gravity data of Eskişehir and surroundings were
evaluated using the same edge detection methods. When the results are examined,
it has been seen that TIA, THA and NTHD methods in theoretical gravity data are
relatively more successful than the other methods. It has been observed that
all the methods applied to Eskişehir gravity data give results that are in
harmony with the general tectonic trend of the region but, the results of TIA,
HTIA and THDR-TIA methods are more compatible than the other methods.
Keywords
References
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Details
Primary Language
Turkish
Subjects
Engineering
Journal Section
Research Article
Publication Date
December 15, 2017
Submission Date
November 10, 2016
Acceptance Date
-
Published in Issue
Year 2017 Volume: 23 Number: 6