Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Fluorescence hyperspectral imaging system for analysis and visualization of oil sample composition and thickness

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, a compact fluorescence hyperspectral imaging system based on a prism-grating-prism (PGP) structure is designed. Its spectrometer spectral range is 400–1000 nm with a spectral resolution of 2.5 nm, and its weight is less than 1.7 kg. The PGP imaging spectrometer combines the technical advantages of prism and grating, by not only using six lenses for imaging and collimation to realize the dual telecentres of object and image but also having a “straight cylinder” structure, which makes the installation and adjustment simple, compact, and stable. By the push-broom method, we obtained the three-dimensional cubic data of different oil products. By normalization processing, minimum noise separation transformation processing, visualization processing, and support vector machine classification processing of different oil fluorescence hyperspectral data, we demonstrate that the fluorescence hyperspectral imaging system can identify different kinds of oil and recognize the oil film thickness. The fluorescence hyperspectral imaging system can be used in oil spill detection, resource exploration, natural disaster monitoring, environmental pollution assessment, and many other fields.

© 2021 Optical Society of America

Full Article  |  PDF Article
More Like This
Underwater hyperspectral imaging system using a prism–grating–prism structure

Qingsheng Xue, Zhongtian Tian, Bai Yang, Jishen Liang, Chang Li, Fupeng Wang, and Qian Li
Appl. Opt. 60(4) 894-900 (2021)

Analysis of fluorescence simulation and experiments for sea surface oil film based on LIF

Beibei Xie, Li Yuan, Deming Kong, Xiaodan Zhang, and Dehan Kong
Appl. Opt. 60(18) 5439-5450 (2021)

Multiband directional reflectance properties of oil-in-water emulsion: application for identification of oil spill types

Qingzhi Lai, Yinmo Xie, Chengan Wang, Min Wang, and Jianyu Tan
Appl. Opt. 60(23) 6902-6909 (2021)

Data Availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (20)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (4)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (21)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.