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乳化过程中油膜厚度及 油种识别微波探测技术实验展望
过 杰; 马 靖
Source Publication海岸科学
Keyword微波后向散射系数 乳化油膜厚度 高光谱 乳化 阻尼比
MOST Discipline Catalogue事微波遥感及应用(溢油、风场等灾害)
AbstractSynthetic aperture radar (SAR) has been playing a major role in the monitoring of oil spill, which can image ocean surfaces during the day and night with high resolution and large coverage, independent of cloud cover. However, SAR also has shortcomings in monitoring oil spillage and oil species identification. It was found thatwater content can describe the oil emulsification process well, a certain amount of emulsified oil can increase the normalized radar cross section (NRCS), and the oil film thickness has 14 海 岸 科 学 2021 年 a linear relationship with the NRCS during the oil emulsification experiment on the basis of the previous National Natural Science Foundation project (NNSFP). This project is based on the research of the previous NNSFP, in physical oceanography, the electromagnetic scattering theory of the surface and working principle of the hyperspectral imager as the foundation, inversion of the oil film thickness with the hyperspectral data observation by unmanned aerial vehicle through the experiment and joint SAR synchronous observation of emulsified oil film, to establish the correspondences to the emulsified oil film thickness with NRCS, damping ratio, respectively. Emulsified oil, crude oil and biological oil films were identified by the characteristic parameters of oil spill and emulsification scattering and a microwave detection model of oil film thickness during emulsification was established. The research of this project will provide the possibility for SAR to monitor the amount of emulsified oil spillage ( oil spill thickness) on the sea surface and identify oil species, which will further improve the accuracy and ability of SAR to monitor oil spill on the sea surface.
Other Abstract合成孔径雷达(SAR)以其高分辨率,不受雨、云影响等优势,在海面溢油监测过程中一直发挥着主力军作 用,但同时 SAR 存在溢油量的监测和油种识别等短板。 本文以物理海洋学和海面电磁散射理论以及高光谱成像原理 为基础,通过实验利用 SAR 同步观测乳化油膜联合无人机高光谱遥感观测数据反演的油膜厚度,建立乳化油膜厚度 分别与后向散射系数(NRCS)、阻尼比等敏感参数的对应关系;通过实验的溢油参数和散射特征参数来实现乳化油 膜、原油、生物油膜的识别,构建乳化过程油膜厚度微波探测模型。 本文的研究将为 SAR 监测海面乳化溢油量(溢油 厚度)及油种识别提供可能,将进一步提高 SAR 海面监测溢油的精度和能力。
WOS KeywordMicrowave backscattering coefficient ; Emulsified oil film thickness ; Hyperspectral ; Emulsify ; Damping ratio
Document Type期刊论文
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GB/T 7714
过 杰,马 靖. 乳化过程中油膜厚度及 油种识别微波探测技术实验展望[J]. 海岸科学,2021,8(1):9-15.
APA 过 杰,&马 靖.(2021).乳化过程中油膜厚度及 油种识别微波探测技术实验展望.海岸科学,8(1),9-15.
MLA 过 杰,et al."乳化过程中油膜厚度及 油种识别微波探测技术实验展望".海岸科学 8.1(2021):9-15.
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