Abstract
Identification of lineaments has important ramifications in geology because lineaments can signify zones of both hazardous potential and economically valuable environments The synoptic view of local and regional lineament patterns by Landsat is a useful mapping technique in areas considered to be well mapped as well as in poorly mapped areas Image enhancement of digitally constructed Landsat images increases contrast and sharpness between geologic features and improves the recognition of subtle differences
Five enhancement techniques are applied to Landsat digital data for lineament detection (1) mean value of all four bands, (2) principal components, (3) band ratio, (4) histogram equalization, and (5) high-pass digital filtering Of the five enhancement techniques evaluated, the principal components analysis identified the greatest number of lineaments and the greatest total length of the lineaments. All five techniques identified a significant amount of unique lineaments, which were not found by any other technique. Unique lineaments identified by each technique are combined through a composite process yielding a lineament interpretation which exceeds the detection capability of the principal components interpretation
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Anuta, Paul E., 1977, Computer-assisted analysis techniques for remote sensing data interpretation: Geophysics, v. 42, p. 468–481.
Condit, C. D., and P. S. Chavez, Jr., 1979, Basic concepts of computerized digital image processing for geologists. Washington, DC: U.S. Government Printing Office, Geological Survey Bulletin 1462.
Csillag, F., 1982, Significance of tectonics in linear feature detection and interpretation on satellite images. Remote Sensing of Environment, v. 12, no. 3, p. 235–245.
Fontanel, A., B. C. Lallemand, 1975, Enhancement of Landsat imagery by combination of multispectral classification and principal component analysis, Proceedings of the NASA Earth Resources Survey Symposium, IB, p. 991–1012.
Gillespie, A. R., 1980, Digital techniques of image enhancement. p. 139–226in B. S. Siegal and A. R. Gellespie, editors, Remote Sensing in Geology: New York, John Wiley & Sons.
Goetz, A. F. H., and L. C. Rowan, 1981, Geologic remote sensing: Science, v. 211, p. 781–791.
Huntington, J. F., and A. P. Raiche, 1978, A multi-attribute method for comparing geological lineament interpretations: Remote Sensing of Environment, v. 7, p. 145–161.
Mynar, F., and S. J. Walsh, 1985, Comparison of lineament detection: Landsat digital enhancements: The Geographical Bulletin, v. 27, p. 5–19.
O’Leary, D. W., J. D. Friedman, and H. A. Pohn, 1976, Lineament, linear, lineation: some proposed new standards of old terms: Geological Society of America Bulletin, v. 87, p. 1463–1469.
Podwysocki, M. H., and P. D. Lowman, Jr., 1974, Fortran IV programs for summarization and analysis of fracture trace and lineament patterns: Greenbelt, MD, Goddard Space Flight Center, NASA TMX-70596.
Rowan, L. C., P. H. Wetlaufer, F. C. Billingsley, and A. F. H. Goetz, 1973, Mapping of hydrothermal alternation zones and regional rock types using computer enhanced ERTS MSS images: Third Earth Resources Technology Satellite-1 Symposium, p. 807.
Saunders, D. F., and D. E. Hicks, 1976, Regional Geomorphic lineaments on satellite imagery—their origin and applications, Proceedings of the Second International Conference on Basement Tectonics: Newark, DE, p. 326–352.
Shin, E. H. H., and R. A. Schowengerdt, 1983, Classification of arid geomorphic surfaces using Landsat spectral and textural features, Photogrammetric Engineering and Remote Sensing, v. 49, no. 3, p. 337–347.
Short, N. M., and P. D. Lowman, Jr., 1973, Earth observations from space: outlook for the geological sciences: Greenbelt, MD, Goddard Space. Flight Center, NASA X-650-73-316.
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Walsh, S.J., Mynar, F. Landsat digital enhancements for lineament detection. Environ. Geol. Water Sci 8, 123–128 (1986). https://doi.org/10.1007/BF02509898
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DOI: https://doi.org/10.1007/BF02509898