Abstract
A two step approach for delineating geological faults on radar images is developed. The first step is the row-by-row detection of the line elements, or the points at which “gray value” statistics change abruptly. The combination of a Kalman filter and a change detector is used for the line element detection. Connecting these line elements into lines using the a priori geologic information is the second step. Two algorithms are presented for this step: a line following algorithm and line restoration with simulated annealing. Both algorithms are tested on real data and their performances are compared.
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© 1987 Springer-Verlag Berlin Heidelberg
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Güler, S., Garcia, G., Gülen, L., Toksöz, M.N. (1987). The Detection of Geological Fault Lines in Radar Images. In: Devijver, P.A., Kittler, J. (eds) Pattern Recognition Theory and Applications. NATO ASI Series, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83069-3_16
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DOI: https://doi.org/10.1007/978-3-642-83069-3_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-83071-6
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