DOI: 10.1016/j.marpolbul.2016.07.044
Scopus记录号: 2-s2.0-84992578632
论文题名: Offshore platform sourced pollution monitoring using space-borne fully polarimetric C and X band synthetic aperture radar
作者: Singha S. ; Ressel R.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2016
卷: 112, 期: 2018-01-02 起始页码: 327
结束页码: 340
语种: 英语
英文关键词: Offshore pollution
; Oil spill
; Platform monitoring
; Polarimetric synthetic aperture radar (Pol-SAR)
; RADARSAT-2
; TerraSAR-X
Scopus关键词: Drilling platforms
; Neural networks
; Offshore structures
; Oil spills
; Polarimeters
; Pollution
; Pollution detection
; Radar
; Radar imaging
; Satellites
; Surface scattering
; Artificial neural network classifiers
; Offshore platform monitoring
; Polarimetric features
; Polarimetric SAR data
; Polarimetric synthetic aperture radars
; Radarsat-2
; TerraSAR-X
; X-band synthetic aperture radars
; Synthetic aperture radar
; marine pollution
; oil spill
; pollution monitoring
; RADARSAT
; synthetic aperture radar
; TerraSAR-X
; artificial neural network
; classifier
; oil spill
; pollution monitoring
; telecommunication
; validation process
; algorithm
; analysis
; devices
; environmental monitoring
; India
; oil spill
; procedures
; satellite imagery
; water pollutant
; water pollutant
; Algorithms
; Environmental Monitoring
; India
; Neural Networks (Computer)
; Petroleum Pollution
; Radar
; Satellite Imagery
; 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: Use of polarimetric SAR data for offshore pollution monitoring is relatively new and shows great potential for operational offshore platform monitoring. This paper describes the development of an automated oil spill detection chain for operational purposes based on C-band (RADARSAT-2) and X-band (TerraSAR-X) fully polarimetric images, wherein we use polarimetric features to characterize oil spills and look-alikes. Numbers of near coincident TerraSAR-X and RADARSAT-2 images have been acquired over offshore platforms. Ten polarimetric feature parameters were extracted from different types of oil and ‘look-alike’ spots and divided into training and validation dataset. Extracted features were then used to develop a pixel based Artificial Neural Network classifier. Mutual information contents among extracted features were assessed and feature parameters were ranked according to their ability to discriminate between oil spill and look-alike spots. Polarimetric features such as Scattering Diversity, Surface Scattering Fraction and Span proved to be most suitable for operational services. © 2016 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/86668
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: Maritime Safety and Security Lab, Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Henrich Focke Str. 4, Bremen, Germany
Recommended Citation:
Singha S.,Ressel R.. Offshore platform sourced pollution monitoring using space-borne fully polarimetric C and X band synthetic aperture radar[J]. Marine Pollution Bulletin,2016-01-01,112(2018-01-02)