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Lineament detection from land cover information in mixels using Landsat‐TM data
Author(s) -
Kageyama Yoichi,
Nishida Makoto
Publication year - 2004
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.10342
Subject(s) - lineament , land cover , thematic mapper , remote sensing , pixel , geology , edge detection , cover (algebra) , feature (linguistics) , multispectral image , cartography , pattern recognition (psychology) , computer science , geography , artificial intelligence , image (mathematics) , land use , satellite imagery , image processing , seismology , tectonics , engineering , mechanical engineering , philosophy , civil engineering , linguistics
Lineaments are important features showing the presence of subsurface elements or structural weakness and are in general extracted by expert visual interpretation. Lineament maps based on visual interpretation will have gaps because of poor contrast of the segments in remotely sensed data. To generate lineaments which are collinear and broken into a series of segments obtained from multispectral data of the Landsat Thematic Mapper (TM), this paper proposes an automated lineament detection method using land cover information in the mixed pixels (mixels). Many lineaments can be extracted from topographic drainage patterns. Therefore, the elements of the drainage pattern estimated by fuzzy reasoning were used to synthesize edge data from TM bands 1 to 4. In addition, the edges in the regions of towns and paddy fields, which were not related to lineaments, were excluded. We then generated segments from the resulting edge data considering the feature of each band of TM data. As a result of experience, it is clear that the proposed approach using land cover information in the Landsat‐TM data allows reliable extraction of segments influenced by the geological structures. © 2004 Wiley Periodicals, Inc. Electr Eng Jpn, 148(4): 65–73, 2004; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.10342