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Auteur Zakaria Adiri |
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Comparison of Landsat-8, ASTER and Sentinel 1 satellite remote sensing data in automatic lineaments extraction: A case study of Sidi Flah-Bouskour inlier, Moroccan Anti Atlas / Zakaria Adiri in Advances in space research, vol 60 n° 11 (1 December 2017)
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Titre : Comparison of Landsat-8, ASTER and Sentinel 1 satellite remote sensing data in automatic lineaments extraction: A case study of Sidi Flah-Bouskour inlier, Moroccan Anti Atlas Type de document : Article/Communication Auteurs : Zakaria Adiri, Auteur ; Abderrazak El Harti, Auteur ; Amine Jellouli, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 2355 - 2367 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] Atlas marocain
[Termes IGN] extraction automatique
[Termes IGN] image Landsat-8
[Termes IGN] image Sentinel-SAR
[Termes IGN] image Terra-ASTER
[Termes IGN] linéamentRésumé : (auteur) Certainly, lineament mapping occupies an important place in several studies, including geology, hydrogeology and topography etc. With the help of remote sensing techniques, lineaments can be better identified due to strong advances in used data and methods. This allowed exceeding the usual classical procedures and achieving more precise results. The aim of this work is the comparison of ASTER, Landsat-8 and Sentinel 1 data sensors in automatic lineament extraction. In addition to image data, the followed approach includes the use of the pre-existing geological map, the Digital Elevation Model (DEM) as well as the ground truth. Through a fully automatic approach consisting of a combination of edge detection algorithm and line-linking algorithm, we have found the optimal parameters for automatic lineament extraction in the study area. Thereafter, the comparison and the validation of the obtained results showed that the Sentinel 1 data are more efficient in restitution of lineaments. This indicates the performance of the radar data compared to those optical in this kind of study. Numéro de notice : A2017-751 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.asr.2017.09.006 Date de publication en ligne : 18/09/2017 En ligne : https://doi.org/10.1016/j.asr.2017.09.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89035
in Advances in space research > vol 60 n° 11 (1 December 2017) . - pp 2355 - 2367[article]