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An Automated Method for the Detection of Topographic Patterns at Tectonic Boundaries

Authors:
Bobak Karimi
Hassan Karimi

Keywords: Automated pattern detection; cluster analysis; lineaments; tectonics

Abstract:
Detection of spatial and contextual patterns is of great importance to geoscientists interested in understanding and analyzing tectonic boundaries. To date, geoscientists have developed mostly manual detection methods and only recently has interest in the development of automated methods grown with the availability of high-resolution satellite data and the advancement of technologies such as Geographic Information Systems (GIS). Geoscientists are examining different approaches to automate the manual detection method of tectonically related phenomena, but considering the complexity, time-consumption, and assumptions usually made in the manual method, new automated detection techniques are anticipated to surface soon and will vary in implementation, accuracy, and time performance. In this paper, we present a Digital Elevation Model (DEM) based automated method for detection of spatial and contextual topographic patterns at tectonic boundaries. Our automated method was experimented and compared against recent existing methods with the same objective and the manual method, which is considered as the baseline. The results show that our automated method produces more accurate results than the existing methods.

Pages: 72 to 77

Copyright: Copyright (c) IARIA, 2017

Publication date: February 19, 2017

Published in: conference

ISSN: 2308-3557

ISBN: 978-1-61208-534-0

Location: Athens, Greece

Dates: from February 19, 2017 to February 23, 2017