Universiti Teknologi Malaysia Institutional Repository

Developing adaptive algorithm for automatic detection of geological linear features using RADARSAT-1 SAR data

Marghany, M. and Hashim, Mazlan (2010) Developing adaptive algorithm for automatic detection of geological linear features using RADARSAT-1 SAR data. international Journal of the Physical Sciences, 5 (14). 2223 - 2229.

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Official URL: https://www.researchgate.net/publication/235781068...

Abstract

Synthetic aperture radar (SAR) has been recognized as a powerful tool for geological features detection. This work introduces a new approach for modification of adaptive Lee algorithm to semi-automatically detected geological features from RADARSAT-1 SAR data. This is based on modification of Lee algorithm formula by using 2D Gaussian convolution formula. The result shows that the new formula of Lee algorithm can be delineated lineament features in RADARSAT- 1 SAR data. The new formula based on 2D Gaussian performed better in semi-automatically detected lineament features as compared with Lee algorithm. The modification of Lee algorithm has a small standard deviation of 3.54 as compared to Lee algorithm.

Item Type:Article
Subjects:Unspecified
Divisions:Geoinformation and Real Estate
ID Code:25098
Deposited By: Kamariah Mohamed Jong
Deposited On:21 Feb 2017 06:13
Last Modified:21 Feb 2017 06:16

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