The remote sensing inversion theory of offshore oil slick thickness based on a two-beam interference model
The remote sensing inversion theory of offshore oil slick thickness based on a two-beam interference model
复制标题
基于两波束干涉模型的海上浮油厚度遥感反演理论
DOI：
10.1007/s11430-010-4154-1
复制
发表时间：
2011-01
期刊：
影响因子：
--
通讯作者：
Li, Xiang2
中科院分区：
文献类型：
--
作者：
Lu, Ying Cheng1;Tian, Qing Jiu1;Li, Xiang2
海上石油滑水对于监测海洋溢油事故和海洋石油资源的检测都很重要。使用遥感技术来检测油脂的厚度是一个主要研究领域。反射的光FR
Offshore oil slicks are significant for both the monitoring of marine spill accidents and the detection of marine oil resources. The use of remote sensing technology to detect the thickness of oil slicks is a major area of research. The reflected light from oil slicks changes with the thickness of the oil. This is the theoretical basis of research on optical remote sensing of offshore oil slicks. A two-beam interference model that considers the offshore oil slick as a flat plate has been developed in this study. A quantitative remote sensing model which describes a series of processes that use oil slick thickness and reflectance as variables is established. The use of the Fresnel equation to analyze parameters in the model indicated that the key property of the quantitative relationship between the oil slick thickness and reflectance was ultimately the disappearance or extinction of the oil slick. This model has been tested and verified by data from offshore oil slick spectral response experiments. Results showed that the oil slick thickness remote sensing model can be theoretically analyzed and is efficient. The research indicated that the major cause of variations in the spectral response as a function of oil slick thickness was the different light-scattering characteristics. These characteristics can be used in remote sensing applications to identify the different types of offshore oil slicks. The theoretical interpretation of each parameter in this model led to the development of a look-up table of the model parameters which will improve the efficiency of future offshore oil slick remote sensing.
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DOI：
10.2172/436488
发表时间：
1996-12
期刊：
--
影响因子：
--
作者：
L. Balick;J. Benedetto;S. Lutz
通讯作者：
L. Balick;J. Benedetto;S. Lutz
DOI：
10.1117/12.259774
发表时间：
1996-11
期刊：
--
影响因子：
--
作者：
I. Campbell;D. Mcstay
通讯作者：
I. Campbell;D. Mcstay
影响因子：
13.5
作者：
M. Wettle;P. Daniel;G. Logan;M. Thankappan
通讯作者：
M. Wettle;P. Daniel;G. Logan;M. Thankappan
DOI：
--
发表时间：
1996-11
期刊：
--
影响因子：
--
作者：
H. M. Brown;J. Bittner;R. Goodman
通讯作者：
H. M. Brown;J. Bittner;R. Goodman
影响因子：
5.8
作者：
広 久保田
通讯作者：
広 久保田