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International Journal of Remote Sensing Volume 41, 2020 - Issue 5
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Research Article

Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data

Ehsan Farahbakhsha EarthByte Group, School of Geosciences, University of Sydney, Sydney, Australia;b Centre for Translational Data Science, University of Sydney, Sydney, Australia;c Department of Mining and Metallurgical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, IranCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-2618-2458
ORCID Icon,
Rohitash Chandraa EarthByte Group, School of Geosciences, University of Sydney, Sydney, Australia;b Centre for Translational Data Science, University of Sydney, Sydney, Australia
,
Hugo K. H. Olierookd School of Earth and Planetary Sciences, Curtin University, Perth, Australia
,
Richard Scalzoc Department of Mining and Metallurgical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
,
Chris Clarkd School of Earth and Planetary Sciences, Curtin University, Perth, Australia
,
Steven M. Reddyd School of Earth and Planetary Sciences, Curtin University, Perth, Australia
&
R. Dietmar Müllera EarthByte Group, School of Geosciences, University of Sydney, Sydney, Australia
 show all
Pages 1760-1787 | Received 20 Apr 2019, Accepted 06 Aug 2019, Published online: 11 Oct 2019

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Ibtissame Bentahar, Mustapha Allouban, Mohammed Raji, Hicham Si Mhmadi & Noura Zoraa. (2024) Structural lineament mapping of Central-Eastern high atlas, Morocco, using ASAR/Envisat and SAR/sentinel 1B data. Geocarto International 37:27, pages 15568-15603.
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Mohcine Chakouri, Abderrazak El Harti, Rachid Lhissou, Jaouad El Hachimi, Amine Jellouli & Zakaria Adiri. (2024) Assessment of radarsat-1, ALOS PALSAR and sentinel-1 SAR satellite images for geological lineament mapping. Geocarto International 37:27, pages 15530-15547.
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Mehdi Maleki, Shojaeddin Niroomand, Shahrokh Rajabpour, Amin Beiranvand Pour & Salahadin Ebrahimpour. (2022) Targeting local orogenic gold mineralisation zones using data-driven evidential belief functions: the Godarsorkh area, Central Iran. All Earth 34:1, pages 259-278.
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Xiancheng Mao, Wei Zhang, Zhankun Liu, Jia Ren, Richard C. Bayless & Hao Deng. (2020) 3D Mineral Prospectivity Modeling for the Low-Sulfidation Epithermal Gold Deposit: A Case Study of the Axi Gold Deposit, Western Tianshan, NW China. Minerals 10:3, pages 233.
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