Journal article
Landsat digital enhancements for lineament detection
Environmental Geology and Water Sciences, Vol.8(3), pp.123-128
1986
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.
Details
- Title
- Landsat digital enhancements for lineament detection
- Authors
- Stephen J Walsh (Author) - Oklahoma State University, United StatesF Mynar II (Author) - Lockheed Engineering, United States
- Publication details
- Environmental Geology and Water Sciences, Vol.8(3), pp.123-128
- Publisher
- Springer
- Date published
- 1986
- DOI
- 10.1007/BF02509898
- ISSN
- 0177-5146
- Organisation Unit
- University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99449143402621
- Output Type
- Journal article
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- Web Of Science research areas
- Environmental Sciences
- Geosciences, Multidisciplinary
- Water Resources
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Source: InCites