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A Development of Enhanced Automatic Lineament Extraction Algorithm and its Application  

Choi Eun-Young (전남대학교)
Choi Dong-Seok (전남대학교)
Choi Hyoun-Seok (전남대학교)
Lim Tae-Geun (전남대학교)
Jung Lae-Chul (전남대학교)
Yoon Wang-Jung (전남대학교)
Publication Information
Geophysics and Geophysical Exploration / v.6, no.1, 2003 , pp. 7-12 More about this Journal
Abstract
The lineament extraction from satellite images is important in the geologic studies including groundwater and mineral exploration, groundwater survey, natural hazard analysis, and many others. The lineaments in remote sensing images are identified by the difference of pixel values or brightness. Since the visual interpretation is apt to be influenced by the knowledges and experiences, many of the automatic lineament detection algorithms are developed to ensure the objectives and efficient outputs. DSTA (dynamic segment tracing algorithm) is one of such algorithms, which can be applied to not only mountainous area but also alluvial area. However, when the alluvial area is wider than mountain region, somewhat severe noises are generated. To reduce such noises, AERA (alluvial effect reducing algorithm) is proposed and tested for the image which contains mountains, cultivated land and urban area. Upon the application of AERA, alluvial effects in lineament extraction from satellite image are substantially reduced.
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