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Evaluation of the Ability of Spectral Indices of Hydrocarbons and Seawater for Identifying Oil Slicks Utilizing Hyperspectral Images  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Evaluation of the Ability of Spectral Indices of Hydrocarbons and Seawater for Identifying Oil Slicks Utilizing Hyperspectral Images

作者:Zhao, Dong[1];Cheng, Xinwen[1];Zhang, Hongping[1];Niu, Yanfei[1];Qi, Yangyang[1];Zhang, Haitao[2]

第一作者:Zhao, Dong

通讯作者:Cheng, XW[1]

机构:[1]China Univ Geosci, Fac Informat Engn, Wuhan 430074, Hubei, Peoples R China;[2]Henan Univ Econ & Law, Coll Resources & Environm, Zhengzhou 450046, Henan, Peoples R China

第一机构:China Univ Geosci, Fac Informat Engn, Wuhan 430074, Hubei, Peoples R China

通讯机构:[1]corresponding author), China Univ Geosci, Fac Informat Engn, Wuhan 430074, Hubei, Peoples R China.

年份:2018

卷号:10

期号:3

外文期刊名:REMOTE SENSING

收录:;EI(收录号:20181204934931);Scopus(收录号:2-s2.0-85044181742);WOS:【SCI-EXPANDED(收录号:WOS:000428280100067)】;

基金:This research was supported by the High Resolution Earth Observation Systems of the National Science and Technology Major Project (No. 07-Y30A05-9001-12/13).

语种:英文

外文关键词:oil slick; hyperspectral remote sensing; spectral indices; evaluation measurement

摘要:It is important to detect floating oil slicks after spill accidents, and hyperspectral remote sensing technology is capable of achieving this task. Traditional methods mainly utilize the spectral indices of hydrocarbons to detect floating oil slicks, but are poor at distinguishing the thickness of oil slicks and cannot detect sheens. Since the spectra of oil slicks should be affected by seawater as well as oil, this paper investigated the use of spectral indices of hydrocarbons and seawater to identify different thicknesses of oil slicks. In this research, a measurement, called index separability (IS), was proposed for quantitatively evaluating the identification ability of these spectral indices. Based on the evaluation results, experiments were conducted to validate the applicability of these spectral indices. The results show that the spectral indices of hydrocarbons are more suitable for detecting continuous true color oil slicks and emulsions and that spectral indices of seawater are more suitable for sheens and seawater. In addition, the spectral indices of hydrocarbons and seawater are complementary for detecting oil slicks. Finally, combining the spectral indices of hydrocarbons and seawater is conducive to achieving more accurate oil slick recognition results.

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