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Proceedings Paper

Research on marine oil spill pollution detection based on laser raman spectroscopy
Author(s): Minmin Zhang; Yangning Guo; Fen Hu; Zhe Liu; Jiulin Shi; Xingdao He
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Paper Abstract

Aiming at the problem of oil pollution, a method based on laser Raman spectroscopy to identify oil spill is proposed in this paper. The respective Raman characteristic spectral regions were extracted from the Raman information of the biodiesel and diesel collected by the experiment. Principal component analysis (PCA) was used for identification, and partial least squares (PLS) regression was used to quantitatively analyze the mixed fuel.

Paper Details

Date Published: 31 January 2020
PDF: 6 pages
Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 114273X (31 January 2020);
Show Author Affiliations
Minmin Zhang, Nanchang Hangkong Univ. (China)
Yangning Guo, Nanchang Hangkong Univ. (China)
Fen Hu, Nanchang Hangkong Univ. (China)
Zhe Liu, Nanchang Hangkong Univ. (China)
Jiulin Shi, Nanchang Hangkong Univ. (China)
Xingdao He, Nanchang Hangkong Univ. (China)

Published in SPIE Proceedings Vol. 11427:
Second Target Recognition and Artificial Intelligence Summit Forum
Tianran Wang; Tianyou Chai; Huitao Fan; Qifeng Yu, Editor(s)

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