Technology and Methodology |
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Method for oil spill information extraction from airborne multispectral imagery |
LIU Bingxin, LI Ying, GAO Chao |
Environmental Information Institute, Dalian Maritime University, Dalian 116026, China |
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Abstract In order to study the method for identifying the oil film using the multispectral data, the authors obtained the imagery of Zhoushan waters by using the marine aircraft-borne multi-spectral oil spill detector, and also acquired the reflectance spectra of the water and oil film by means of FieldSpec spectroradiometer.The image characteristics and spectral response characteristics were analyzed so as to detect the distribution of the relative thickness using the decision tree classifier. The overall accuracy is 93.7%, which shows that the classification method based on the spectral characteristics could effectively recognize the thick thin sheen oil film and extract the information of marine oil pollution, thus sufficiently satisfying the requirements for monitoring marine oil spill.
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Keywords
Jizhong plain
brick clay
exploitation situation
eco-environment
remote sensing survey
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Issue Date: 08 January 2014
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[1] Solberg A H S.Remote sensing of ocean oil-spill pollution[J].Proceedings of the IEEE, 2012, 100(10, SI):2931-2945.[2] 刘丙新.基于高光谱特征的水上油膜提取与分析研究[D].大连:大连海事大学, 2013. Liu B X.Extraction and analysis of oil film on water using hyperspectral characteristics[D].Dalian:Dalian Maritime University, 2013.[3] Bern T I, Wahl T, Andersen T, et al.Oil spill detection using satellite based SAR:Experience from a field experimen[J].Photogrammetric Engineering and Remote Sensing, 2007, 59(3):423-428.[4] Keramitsoglou I, Cartalis C K, Iranoudis C T.Automatic identification of oil spills on satellite images[J].Environmental Modelling and Software, 2006, 21(5):640-652.[5] Derrode S, Mercier G.Unsupervised multiscale oil slick segmentation from SAR images using a vector HMC model[J].Pattern Recognition, 2007, 40(3):1135-1147.[6] Marghany M, Cracknell A P, Hashim M.Modification of fractal algorithm for oil spill detection from Radarsat-1 SAR data[J].International Journal of Applied Earth Observation and Geoinformation, 2008, 11(2):96-102.[7] Chang L, Tang Z S, Chang S H.A region-based GLRT detection of oil spills in SAR images[J].Pattern Recognition Letters, 2008, 29(14):1915-1923.[8] Trieschmann O.A multiple remote sensor system for the aerial surveillance of the North Sea and Baltic Sea[C]//Proceedings of the Fifth International Airborne Remote Sensing Conference.San Francisco, California:2001.[9] Lehr W J.Visual observations and the bonn agreement[C]//Proceedings of the Thirty-third Arctic and Marine Oilspill Program(AMOP) Technical Seminar, Emergencies Science Division Ottawa, Ontario, Canada:Environment Canada, 2010.[10] Horstein.The application and visibility of thin oil films on water[R].Cincinnati, OH:U S Environmental Protection Agency, 1972.[11] Svejkovsky J, Lehr W, Muskat J, et al.Operational utilization of aerial multispectral remote sensing during oil spill response:Lessons learned during the deepwater horizon(MC-252) spill[J].Photogrammetric Engineering and Remote Sensing, 2012, 78(10):1089-1102.[12] The North Sea State, European Community.Bonn agreement/text of the bonn agreement[EB/OL].(2001-9-21)[2013-9-260].http://www.bonnagreement.org/eng/html/welcome.html.[13] Leifer I, Lehr W J, Simecek-Beatty D, et al.State of the art satellite and airborne marine oil spill remote sensing:Application to the BP deepwater horizon oil spill[J].Remote Sensing of Environment, 2012, 124:185-209.[14] Clark R N, Swayze G A, Leifer I, et al.A method for quantitative mapping of thick oil spills using imaging spectroscopy[R].Geological Survey Open-File Report, 2010.[15] Yang Y D, Xue Y Q, Yu L.The airborne remote sensor for ocean environmental monitoring[C]//Stockholm, Sweden:Spie-int Soc Optical Engineering, 2006.[16] 赵英时.遥感应用分析原理与方法[M].北京:科学出版社, 2003:421-422. Zhao Y S.Theory and method of remote sensing application and analysis[M].Beijing:Science Press, 2003:421-422. |
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