In the event of an offshore oil spill accident, timely acquisition of the oil spill area and volume is of great significance for scientific decision-making and emergency responses. The remote sensing acquisition breakthrough point pertaining to oil spill volume is the determination of oil film thickness (OFT). Several rules have been identified based on the empirical relationships between the oil film’s normalized radar cross section (NRCS) obtained from C-band field experiments and the inversion of the OFT retrieved from synchronous optical images. Inversion formulas suitable for different OFT ranges under certain conditions are established. Following experimental data verification, our results show that the correlation coefficient is greater than 0.99, and the root mean square error (RMSE) is less than $15~\mu \text{m}$ . The damping ratio (DR) of the spaceborne synthetic aperture radar (SAR) image is used as a bridge to establish the correlation between the optical OFT and the SAR-inverted OFT. The pixels of the SAR image are classified and substituted into different inversion formulas to obtain the OFT distributions in the SAR images. Then, the OFT distributions of the SAR-inverted and optical images are compared and evaluated. It is found that the OFT of the SAR image can explain the spatial distribution of the oil film. This study provides a new idea for spaceborne SAR OFT inversion.

中文翻译：

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基于C波段微波实验的油层厚度反演与评价

一旦发生海上溢油事故，及时获取溢油面积和溢油量对于科学决策和应急处置具有重要意义。溢油量遥感采集的突破点是油膜厚度（OFT）的测定。根据从 C 波段现场实验获得的油膜归一化雷达截面 (NRCS) 与从同步光学图像中检索的 OFT 反演之间的经验关系，已经确定了一些规则。建立了一定条件下适用于不同OFT范围的反演公式。经过实验数据验证，结果表明相关系数大于0.99，均方根误差（RMSE）小于 $15~\mu \text{m}$ 。以星载合成孔径雷达（SAR）图像的阻尼比（DR）为桥梁，建立光学OFT和SAR反演OFT之间的相关性。对SAR图像的像素进行分类，代入不同的反演公式，得到SAR图像中的OFT分布。然后，比较和评估SAR反演图像和光学图像的OFT分布。研究发现SAR图像的OFT可以解释油膜的空间分布。该研究为星载SAR OFT反演提供了新思路。