Literature DB >> 29041218

Oil pollution discrimination by an inelastic hyperspectral Scheimpflug lidar system.

Fei Gao, Jingwei Li, Hongze Lin, Sailing He.   

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.

Entities:  

Year:  2017        PMID: 29041218     DOI: 10.1364/OE.25.025515

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  2 in total

1.  Atmospheric Pollution Monitoring in Urban Area by Employing a 450-nm Lidar System.

Authors:  Zheng Kong; Zhi Liu; Lishan Zhang; Peng Guan; Limei Li; Liang Mei
Journal:  Sensors (Basel)       Date:  2018-06-08       Impact factor: 3.576

2.  Experimental Demonstration of Remote and Compact Imaging Spectrometer Based on Mobile Devices.

Authors:  Jie Chen; Fuhong Cai; Rongxiao He; Sailing He
Journal:  Sensors (Basel)       Date:  2018-06-21       Impact factor: 3.576

  2 in total

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