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Sensors 2016, 16(9), 1347; doi:10.3390/s16091347

A New Approach of Oil Spill Detection Using Time-Resolved LIF Combined with Parallel Factors Analysis for Laser Remote Sensing

1
Optics and Optoelectronics Laboratory, Ocean University of China, Qingdao 266100, China
2
First Institute of Oceanography, State Oceanic Administration, Qingdao 266100, China
3
Information Science & Technology College, Dalian Maritime University, Dalian 116026, China
*
Author to whom correspondence should be addressed.
Academic Editor: Radislav A. Potyrailo
Received: 3 June 2016 / Revised: 27 July 2016 / Accepted: 16 August 2016 / Published: 23 August 2016
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [9733 KB, uploaded 23 August 2016]   |  

Abstract

In hope of developing a method for oil spill detection in laser remote sensing, a series of refined and crude oil samples were investigated using time-resolved fluorescence in conjunction with parallel factors analysis (PARAFAC). The time resolved emission spectra of those investigated samples were taken by a laser remote sensing system on a laboratory basis with a detection distance of 5 m. Based on the intensity-normalized spectra, both refined and crude oil samples were well classified without overlapping, by the approach of PARAFAC with four parallel factors. Principle component analysis (PCA) has also been operated as a comparison. It turned out that PCA operated well in classification of broad oil type categories, but with severe overlapping among the crude oil samples from different oil wells. Apart from the high correct identification rate, PARAFAC has also real-time capabilities, which is an obvious advantage especially in field applications. The obtained results suggested that the approach of time-resolved fluorescence combined with PARAFAC would be potentially applicable in oil spill field detection and identification. View Full-Text
Keywords: oil spill identification; time-resolved fluorescence; PARAFAC; laser remote sensing oil spill identification; time-resolved fluorescence; PARAFAC; laser remote sensing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Liu, D.; Luan, X.; Guo, J.; Cui, T.; An, J.; Zheng, R. A New Approach of Oil Spill Detection Using Time-Resolved LIF Combined with Parallel Factors Analysis for Laser Remote Sensing. Sensors 2016, 16, 1347.

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