DOI: 10.1016/j.marpolbul.2014.06.041
Scopus记录号: 2-s2.0-84922645988
论文题名: Near real time monitoring of platform sourced pollution using TerraSAR-X over the North Sea
作者: Singha S. ; Velotto D. ; Lehner S.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2014
卷: 86, 期: 2018-01-02 起始页码: 379
结束页码: 390
语种: 英语
英文关键词: Marine pollution
; Offshore platform monitoring
; Oil spill detection
; Synthetic aperture radar
Scopus关键词: Drilling platforms
; Marine radar
; Neural networks
; Offshore structures
; Oil shale
; Oil spills
; Pollution
; Pollution detection
; Radar
; Remote sensing
; Satellites
; Synthetic aperture radar
; Tracking radar
; Classification algorithm
; History informations
; Near-real-time monitoring
; Offshore platform monitoring
; Oil spill detection
; Operational monitoring
; Pollution monitoring
; Satellite remote sensing
; Marine pollution
; Article
; artificial neural network
; classification algorithm
; monitor
; North Sea
; oil spill
; pollution monitoring
; remote sensing
; sea pollution
; telecommunication
; TerraSAR X
; validation process
; algorithm
; analysis
; computer system
; environmental monitoring
; procedures
; water pollutant
; petroleum
; water pollutant
; Algorithms
; Computer Systems
; Environmental Monitoring
; Neural Networks (Computer)
; North Sea
; Petroleum
; Petroleum Pollution
; Radar
; Remote Sensing Technology
; 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: Continuous operational monitoring by means of remote sensing contributes significantly towards less occurrence of oil spills over European waters however, operational activities show regular occurrence of accidental and deliberate oil spills over the North Sea, particularly from offshore platform installations. Since the areas covered by oil spills are usually large and scattered over the North Sea, satellite remote sensing particularly Synthetic Aperture Radar (SAR) represents an effective tool for operational oil spill detection. This paper describes the development of a semi-automated approach for oil spill detection, optimized for near real time offshore platform sourced pollution monitoring context. Eight feature parameters are extracted from each segmented dark spot. The classification algorithm is based on artificial neural network. An initial evaluation of this methodology has been carried out on 156 TerraSAR-X images. Wind and current history information also have been analyzed for particular cases in order to evaluate their influences on spill trajectory. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/85758
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
There are no files associated with this item.
作者单位: Maritime Security Lab, Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany
Recommended Citation:
Singha S.,Velotto D.,Lehner S.. Near real time monitoring of platform sourced pollution using TerraSAR-X over the North Sea[J]. Marine Pollution Bulletin,2014-01-01,86(2018-01-02)