Lineament Detection due to Land Cover Information in Mixel Using Landsat TM Data
Lineaments are important features showing subsurface elements or structural weakness and are in general extracted by visual interpretation of experts. Lineament maps given by the visual interpretation should have a gap because of a poor contrast of the segments in data. To generate lineaments, which are collinear and broken into a series of the segments that obtained from multispectral data of Landsat Thematic Mapper (TM), this paper proposes an automated lineament detection using land cover information in mixel (mixed pixel).Many lineaments can be extracted from a drainage system for topography. Therefore, elements of water system that estimated with the fuzzy reasoning was applied to synthetic edge data from first- to fourth- band data. In addition, the edge in the region of town and paddy field, which are no relation to lineaments, was excluded. And then, we generated segments from the resulting edge data considering the feature in each band data. As a result of experience, it is clear that the proposed approach using land cover information in TM data can permit reliable extraction of segments influenced by geological structures.