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基于非弹性高光谱倾斜摄影激光雷达系统的油污鉴别

Oil pollution discrimination by an inelastic hyperspectral Scheimpflug lidar system.

作者信息

Gao Fei, Li Jingwei, Lin Hongze, He Sailing

出版信息

Opt Express. 2017 Oct 16;25(21):25515-25522. doi: 10.1364/OE.25.025515.

Abstract

An inelastic hyperspectral Scheimpflug lidar system is developed for range-resolved oil pollution detection and discrimination. A theory of system parametric design is built for aquatic circumstances, and laser-induced fluorescence spectra with an excitation wavelength of 446 nm are employed to detect oil pollution. Seven kinds of typical oil samples are tested and well distinguished using the principal component analysis (PCA) and linear discriminant analysis (LDA) methods. It has been shown that blue laser diodes (LD) have great potential for oil pollution detection, and our system could be further utilized for more applications in both marine and terrestrial environments.

摘要

开发了一种用于距离分辨油污检测和识别的非弹性高光谱施密特激光雷达系统。针对水生环境建立了系统参数设计理论,并采用激发波长为446nm的激光诱导荧光光谱来检测油污。使用主成分分析(PCA)和线性判别分析(LDA)方法对七种典型油样进行了测试并得到了很好的区分。结果表明,蓝色激光二极管(LD)在油污检测方面具有很大潜力,我们的系统可进一步用于海洋和陆地环境中的更多应用。

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