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Automatic lineament extraction in a heavily vegetated region using landsat enhanced thematic mapper (ETM+) imagery

Hashim, Mazlan and Ahmad, Samsudin and Md. Johari, Mohd. Amin and Pour, Amin Beiranvand (2013) Automatic lineament extraction in a heavily vegetated region using landsat enhanced thematic mapper (ETM+) imagery. Advances In Space Research, 51 (5). pp. 874-890. ISSN 0273-1177

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Official URL: http://dx.doi.org/10.1016/j.asr.2012.10.004

Abstract

Lineament extraction from satellite remotely sensed data has been one of the widely used applications of remote sensing in geology. In fact, recent advances in digital image processing allow such lineament extraction to be accomplished in semi-automatic to fully automatic approaches. However, satellite remotely sensed data acquired in heavily vegetated regions such as tropical rainforest, are vulnerable to higher inherent noise levels attributed to the resultant effects of scattering by clouds and adjacency effects of highly inhomogeneous vegetation cover within the pixel dimension. In this study, we examined the effects of noise levels to lineament extraction using a fully automatic approach, consisting of a combination of edge-line detection algorithms. Ancillary information from a digitized topographic map and image classification was used to discriminate between cultural and natural lineaments from the extracted lineaments. Adapting the combination of edge detection and a line-linking algorithm, we have found the optimal parameters for automatic lineament extraction of such complex areas using Enhanced Thematic Mapper (ETM+) data. A noise level of 30% is the maximum threshold before artifacts are generated. It is therefore concluded that the combination of edge-based and line-linking digital image processing operations with the priori local optimal parameters is crucial in lineament feature extraction in heavily vegetated regions.

Item Type:Article
Uncontrolled Keywords:automatic extraction, edge detection, line detection, lineaments, tropical rainforest
Subjects:G Geography. Anthropology. Recreation > G Geography (General)
Divisions:Geoinformation and Real Estate
ID Code:49031
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:02 Dec 2015 10:09
Last Modified:30 Nov 2018 14:43

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