Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.ejrs.2017.12.001 |
Minimizing labeling ambiguity during classification process of the geological units covering the central part of the Suez Canal Corridor, Egypt using their radar scattering response | |
Abdeen, Mamdouh M.; Gaber, Ahmed; Shokr, Mohamed; El-Saadawy, Omnia A. | |
通讯作者 | Abdeen, MM |
来源期刊 | EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES
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ISSN | 1110-9823 |
EISSN | 2090-2476 |
出版年 | 2018 |
卷号 | 21页码:S55-S66 |
英文摘要 | Deriving information about the geometrical and dielectrical characteristics of objects using optical and radar satellite sensors is valuable for delineating and classifying surficial sediments. In the present study, unsupervised and supervised classifications of the Landsat-8 and the full-polarimetric Radarsat-2 data were used to map the different geological units and to reduce labeling ambiguity during classification processes. The study covers the central part of the Suez Canal Corridor in northeast Egypt. The full-polarimetric Radarsat-2 image was decomposed, filtered and geo-referenced to extract the scattering response of the different land cover and geological units covering the study area. In addition, polarimetric target decomposition and Wishart unsupervised classification with 5 classes were performed. The extracted polarization signatures show significant correlation with the obtained classes in terms of their geometrical (surface roughness) and dielectrical (mineral composition) characteristics. These characteristics are related to physical properties and to some extent, to the grain size and degree of weathering. The results show that the integration between the radar scattering responses and the optical reflectance information of the classified land cover and rock units is appropriate for precise objects discrimination. (C) 2017 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V. |
英文关键词 | Radarsat-2 Full-polarimetric SAR Landsat-8 Scattering response Classifications Geological mapping |
类型 | Article |
语种 | 英语 |
开放获取类型 | DOAJ Gold |
收录类别 | ESCI |
WOS记录号 | WOS:000437841400008 |
WOS关键词 | POLARIMETRIC SAR DATA ; IMAGING RADAR ; UNSUPERVISED CLASSIFICATION ; DESERT ; MODEL |
WOS类目 | Environmental Sciences ; Remote Sensing |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/332888 |
作者单位 | [Abdeen, Mamdouh M.; Shokr, Mohamed; El-Saadawy, Omnia A.] Natl Author Remote Sensing & Space Sci, Cairo, Egypt; [Gaber, Ahmed] Port Said Univ, Dep Geol, Port Said, Egypt |
推荐引用方式 GB/T 7714 | Abdeen, Mamdouh M.,Gaber, Ahmed,Shokr, Mohamed,et al. Minimizing labeling ambiguity during classification process of the geological units covering the central part of the Suez Canal Corridor, Egypt using their radar scattering response[J],2018,21:S55-S66. |
APA | Abdeen, Mamdouh M.,Gaber, Ahmed,Shokr, Mohamed,&El-Saadawy, Omnia A..(2018).Minimizing labeling ambiguity during classification process of the geological units covering the central part of the Suez Canal Corridor, Egypt using their radar scattering response.EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES,21,S55-S66. |
MLA | Abdeen, Mamdouh M.,et al."Minimizing labeling ambiguity during classification process of the geological units covering the central part of the Suez Canal Corridor, Egypt using their radar scattering response".EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES 21(2018):S55-S66. |
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