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引用本文:马靖,过杰.基于微波散射实验的油种识别研究.海洋与湖沼,2023,54(1):30-43.
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基于微波散射实验的油种识别研究
马靖1,2,3, 过杰1,2
1.中国科学院烟台海岸带研究所 中国科学院海岸带环境过程与生态修复重点实验室 山东烟台 264003;2.山东省海岸带环境过程重点实验室 山东烟台 264003;3.中国科学院大学 北京 100049
摘要:
海上溢油来源复杂,溢油种类多样,正确识别溢油类型对于溢油应急的快速反应具有重要意义。合成孔径雷达(synthetic aperture radar,SAR)具有全天时全天候的监测优势,在海面溢油监测中发挥着主力军作用,但在油种识别方面存在不足。利用C波段全极化散射计对柴油、原油、油水混合物和棕榈油进行外场实验观测,探究微波识别油膜的敏感特征参数,并将敏感特征参数应用于海上油膜实验获取的SAR图像进行油种识别。结果表明,在垂直(vertical transmission vertical reception,VV)极化方式下的油水差(△σ0)可以有效识别植物油和矿物油;基于dB和linear units表达的后向散射系数(NRCS)计算的抑制比(DR)在垂直(VV)和水平(horizontal transmission horizontal reception,HH)极化方式下可以有效识别植物油和矿物油,并且在交叉(vertical transmission horizontal reception/ horizontal transmission vertical reception,VH/HV)极化方式下linear units表达的NRCS计算的抑制比可以识别原油和乳化油;极化差(PD)可用于识别原油、乳化油和植物油。
关键词:  油种识别  合成孔径雷达(SAR)  C波段全极化散射计  敏感特征参数
DOI:10.11693/hyhz20220500146
分类号:P76
基金项目:国家自然科学基金,42076197号;山东联合重点基金,U1906217号;NSFC-山东联合基金,U2106211号。
附件
OIL TYPES IDENTIFICATION BASED ON MICROWAVE SCATTERING EXPERIMENT
MA Jing1,2,3, GUO Jie1,2
1.Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences(CAS), CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai 264003, China;2.Shandong Key Laboratory of Coastal Environmental Processes, Yantai 264003, China;3.University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:
With complex sources and various types of oil spills at sea, correct identification of oil spill types is of great significance for the rapid response to oil spill incidents. Synthetic aperture radar (SAR) can perform all-day all-weather monitoring at sea surface for oil spill; however, there has been a deficiency in oil type identification. We applied the C-band full-polarization scatterometer in field experimental observations on diesel oil, crude oil, oil-water mixture, and palm oil to screen sensitive feature parameters for microwave identification of an oil film at sea, and the sensitive feature parameters were applied to the SAR images obtained from the offshore oil film experiments for oil-type identification. Results show that the oil-water difference (△σ0) in VV (vertical transmission vertical reception) polarization mode can effectively identify plant oil and mineral oil. The damping ratio (DR) calculated based on the normalized radar cross section (NRCS) expressed by dB and linear units, respectively, could effectively discriminate plant oil and mineral oil in VV and HH (horizontal transmission horizontal reception) polarization modes. In addition, in VH/HV (vertical transmission horizontal reception/ horizontal transmission vertical reception) polarization mode, the damping ratio calculated by NRCS expressed by linear units could identify crude oil and emulsified oil, and using the polarization difference(PD), crude oil, emulsified oil, and plant oil could also be discriminated.
Key words:  oil type identification  synthetic aperture radar (SAR)  C-band full-polarization scatterometer  sensitive feature parameters
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