针对夜间溢油探测问题，提出了一种通过紫外(UV)LED 诱导并基于高光谱波段差辐射指数的探测方法。通过高光谱成像仪，同步采集了紫外LED和卤素灯两种照明方式下的原油、乳化油和本底海水的高光谱图像。基于33个波段(400~720 nm)辐射值构建了波段差指数作为溢油鉴别特征。特征优化方面，通过增L 减R 法、Fisher法进行了有效波长的选择，通过多维尺度分析、主成分分析(PCA)、独立分量分析进行了波段特征提取，通过径向基函数-支持向量机模型对结果进行识别。结果表明，基于紫外LED的高光谱波段差指数的溢油探测模式，比卤素灯的波段均值识别率分别提高了6.01%和8.17%，因此紫外LED光源更适合夜间溢油及乳化的准确探测。并且，通过Fisher有效波长选择和通过PCA得到的特征组合两种方法识别效果相当，优选的3波段特征的紫外识别率分别达到了85.89%和87.02%，12特征的溢油准确率均达到了100%，通过Fisher法提取的有效波长(400~420 nm)，更适合于实际在线溢油探测。紫外诱导下高光谱的成像的海洋溢油鉴别模型，为夜间海洋溢油探测提供了一种快速鉴别方法。

For the problem of oil spilling detection at night, a detection method based on band difference index of high spectral and ultraviolet(UV) LED induction is proposed. Through hyperspectral imaging collector, hyperspectral images of crude oil, emulsion oil and seawater obtained under UV LED and halogen lamp are collected synchronously. The band difference index is extracted based on radiation values of 33 bands (400~720 nm)to act as the identification feature of oil spilling. In the respect of feature optimization, effective wavelengths are chosen by methods of plus L reduce R and Fisher. The band features are extracted by multidimensional scaling, principal component analysis (PCA) and independent component analysis. An radial basis function support vector machine model is established to recognize the results. The results show that the band mean recognition rates of oil spilling detection method based on UV-LED and hyperspectral band difference index are higher than halogen lamps by 6.01% and 8.17%. Therefore, UV-LED light source is more suitable for accurate detection of oil spilling and emulsified oil testing at night. The optimized method by Fisher as an effective wavelength selection and through the PCA feature combination effect have almost same recognition rate. Recognition rates of 3 bands characteristics under UV light attain to 85.89% and 87.02% , while the accuracy of oil spilling reaches 100% by 12 characteristics. Effective wavelengths (400~420 nm) extracted by Fisher are more suitable for actual online oil spill detection. The model of the UV induced by hyperspectral imaging sea spilling identification built provides a rapid identification method for the sea oil spills detection at night.