Validation Approach of the Tectonic Lineament Extraction Enhancement Using Sentinel 2A Images and Modified 3 ×3 Bidirectional Prewitt Filters. Case Study: Grombalia, Tunisia  

作　　者：Mansouri Karim Noamen Rebai Sonya Gannouni Slimene Sedrette Imed Riadh Farah Mansouri Karim;Noamen Rebai;Sonya Gannouni;Slimene Sedrette;Imed Riadh Farah(ENSI, école Nationale des Sciences de l’Informatique Manouba, Manouba, Tunisia;Geotechnical Engineering and Georisk Research Laboratory (LR14ES03), National School of Engineering of Tunis, University of Tunis El Manar, Tunis, Tunisia;Laboratoire de Géoressources, CERTE, Technopole de Borj Cedria, Borj Cedria, Tunisia)

机构地区：[1]ENSI, école Nationale des Sciences de l’Informatique Manouba, Manouba, Tunisia [2]Geotechnical Engineering and Georisk Research Laboratory (LR14ES03), National School of Engineering of Tunis, University of Tunis El Manar, Tunis, Tunisia [3]Laboratoire de Géoressources, CERTE, Technopole de Borj Cedria, Borj Cedria, Tunisia

出　　处：《Journal of Geographic Information System》2021年第6期671-695,共25页地理信息系统（英文）

摘　　要：In this study, filters are used to extract directional tectonic lineaments and, thus, to reveal the presence of faults or fractures in the satellite images. The extraction process consists first in eliminating other different types of lineaments (e.g. the lithological limit, ridgelines, hydrographic network, roads, etc.). Besides, a comparative and quantitative approach is applied to show that when the directional Prewitt filter has a zero setting of the opposite of the assumed direction, as is the case of the N-S direction, the East-West direction is also set to zero. This research work, based on a bidirectional filter (N-S;E-W), shows satisfactory results especially concerning the quantitative fluctuation of lineament directions by interval. This fluctuation is in perfect agreement with the lineaments provided by the digitizing of the different tectonic accidents directions extracted in a GIS environment from the geological map of Grombalia. In this research work, a quantitative approach was used to evaluate the result of the lineament extraction methodology based on one direction analysis and by an interval of directions. Indeed, the N45 lineament direction, well documented in the geological study of the region, was more clearly distinguished by applying the Prewitt filter than by using the Sobel filter. The result was validated by comparison with the results obtained by the digitization of the tectonic accidents mapped on the geological map.In this study, filters are used to extract directional tectonic lineaments and, thus, to reveal the presence of faults or fractures in the satellite images. The extraction process consists first in eliminating other different types of lineaments (e.g. the lithological limit, ridgelines, hydrographic network, roads, etc.). Besides, a comparative and quantitative approach is applied to show that when the directional Prewitt filter has a zero setting of the opposite of the assumed direction, as is the case of the N-S direction, the East-West direction is also set to zero. This research work, based on a bidirectional filter (N-S;E-W), shows satisfactory results especially concerning the quantitative fluctuation of lineament directions by interval. This fluctuation is in perfect agreement with the lineaments provided by the digitizing of the different tectonic accidents directions extracted in a GIS environment from the geological map of Grombalia. In this research work, a quantitative approach was used to evaluate the result of the lineament extraction methodology based on one direction analysis and by an interval of directions. Indeed, the N45 lineament direction, well documented in the geological study of the region, was more clearly distinguished by applying the Prewitt filter than by using the Sobel filter. The result was validated by comparison with the results obtained by the digitization of the tectonic accidents mapped on the geological map.

关 键 词：LINEAMENT Tectonic Accidents Bi-Directional Filter Direction Frequency Grombalia Tunisia 

分 类 号：P93[天文地球—自然地理学]