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Automatic Detection and Evaluation of Geological linear Features from Remote Sensing Data Using the Hough Transform Algorithm in Eastern Anti-Atlas (Morocco)

Published: 14 November 2017 Publication History

Abstract

In order to automate operations often carried out manually by geologists, we have developed under Matlab environment an algorithm taking advantage of a rich already developed libraries. The proposed automatic detection of lineaments approach is based on the method of Hough transform. This algorithm allows the detection of linear features in satellite optical and/or Synthetic Aperture Radar (SAR) images using a set of mathematic calculations. Prior to applying the algorithm on satellite remote sensing data, it was first tested on well-structured objects in an aerial photo of a city. We presented our results of Obtained by the algorithm on a set of satellite images from two satellites, the Landsat 8 and the SAR Sentinel-1A, acquired over our study area, Reg basin, located in the eastern Anti-Atlas, Morocco. The results are compared with those of visual interpretation based on a spatial filtering and tectonic in-situ data collected in the field. The results analysis showed that most extracted lineaments using our algorithm are similar to those of spatial filtering and confirmed by the in-situ data. We concluded that the proposed approach can be used to automatically extract geological lineament with an acceptable accuracy.

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Cited By

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  • (2023)Lithological discrimination and structural lineaments extraction using Landsat 8 and ASTER data: a case study of Tiwit (Anti-Atlas, Morocco)Environmental Earth Sciences10.1007/s12665-023-10831-482:5Online publication date: 28-Feb-2023
  • (2020)The Hough transform algorithm coupled with spatial filtering for the study of geological structuring control on the drainage network: application to the North Oulmes region, MoroccoArabian Journal of Geosciences10.1007/s12517-020-06052-913:19Online publication date: 25-Sep-2020

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  1. Automatic Detection and Evaluation of Geological linear Features from Remote Sensing Data Using the Hough Transform Algorithm in Eastern Anti-Atlas (Morocco)

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    cover image ACM Other conferences
    ICCWCS'17: Proceedings of the 2nd International Conference on Computing and Wireless Communication Systems
    November 2017
    512 pages
    ISBN:9781450353069
    DOI:10.1145/3167486
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 14 November 2017

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    Author Tags

    1. Automatic Detection
    2. Geological Features
    3. Hough Transform
    4. Remote Sensing

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    • (2023)Lithological discrimination and structural lineaments extraction using Landsat 8 and ASTER data: a case study of Tiwit (Anti-Atlas, Morocco)Environmental Earth Sciences10.1007/s12665-023-10831-482:5Online publication date: 28-Feb-2023
    • (2020)The Hough transform algorithm coupled with spatial filtering for the study of geological structuring control on the drainage network: application to the North Oulmes region, MoroccoArabian Journal of Geosciences10.1007/s12517-020-06052-913:19Online publication date: 25-Sep-2020

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