DOI: 10.1016/j.marpolbul.2014.10.041
Scopus记录号: 2-s2.0-84913529388
论文题名: Utilization of a genetic algorithm for the automatic detection of oil spill from RADARSAT-2 SAR satellite data
作者: Marghany M.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2014
卷: 89, 期: 2018-01-02 起始页码: 20
结束页码: 29
语种: 英语
英文关键词: Genetic algorithm
; Gulf of mexico
; Oil spills
; radarsat-2 sar
; Scansar narrow beam
Scopus关键词: Algorithms
; Genetic algorithms
; Oil shale
; Oil spills
; Synthetic aperture radar
; Automatic Detection
; Environmental features
; Gulf of Mexico
; Narrow beams
; Oil spill detection
; Radarsat-2
; Receiver operating characteristics
; Satellite data
; Marine pollution
; accuracy assessment
; automation
; detection method
; genetic algorithm
; oil spill
; RADARSAT
; satellite data
; synthetic aperture radar
; accuracy
; Article
; case study
; genetic algorithm
; Mexico
; oil spill
; receiver operating characteristic
; satellite imagery
; sea pollution
; sensor
; algorithm
; analysis
; chemical model
; chemistry
; computer program
; environmental monitoring
; Gulf of Mexico
; oil spill
; procedures
; water pollutant
; Atlantic Ocean
; Gulf of Mexico
; water pollutant
; Algorithms
; Environmental Monitoring
; Gulf of Mexico
; Models, Chemical
; Petroleum Pollution
; ROC Curve
; Software
; Water Pollutants, Chemical
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: In this work, a genetic algorithm is applied for the automatic detection of oil spills. The procedure is implemented using sequences from RADARSAT-2 SAR ScanSAR Narrow single-beam data acquired in the Gulf of Mexico. The study demonstrates that the implementation of crossover allows for the generation of an accurate oil spill pattern. This conclusion is confirmed by the receiver-operating characteristic (ROC) curve. The ROC curve indicates that the existence of oil slick footprints can be identified using the area between the ROC curve and the no-discrimination line of 90%, which is greater than that of other surrounding environmental features. In conclusion, the genetic algorithm can be used as a tool for the automatic detection of oil spills, and the ScanSAR Narrow single-beam mode serves as an excellent sensor for oil spill detection and survey. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/85722
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
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作者单位: Institute of Geospatial Science and Technology (INSTeG), Universiti Teknologi Malaysia, Skudai, Johor Bahru, Malaysia
Recommended Citation:
Marghany M.. Utilization of a genetic algorithm for the automatic detection of oil spill from RADARSAT-2 SAR satellite data[J]. Marine Pollution Bulletin,2014-01-01,89(2018-01-02)