Oil spill detection using hyperspectral infrared camera

Hui Yu; Qun Wang; Zhen Zhang; Zhi-jie Zhang; Wei Tang; Xin Tang; Song Yue; Chen-sheng Wang

doi:10.1117/12.2244924

11 January 2017 Oil spill detection using hyperspectral infrared camera

Hui Yu, Qun Wang, Zhen Zhang, Zhi-jie Zhang, Wei Tang, Xin Tang, Song Yue, Chen-sheng Wang

Proceedings Volume 10030, Infrared, Millimeter-Wave, and Terahertz Technologies IV; 100301G (2017) https://doi.org/10.1117/12.2244924
Event: SPIE/COS Photonics Asia, 2016, Beijing, China

Abstract

Oil spill pollution is a severe environmental problem that persists in the marine environment and in inland water systems around the world. Remote sensing is an important part of oil spill response. The hyperspectral images can not only provide the space information but also the spectral information. Pixels of interests generally incorporate information from disparate component that requires quantitative decomposition of these pixels to extract desired information. Oil spill detection can be implemented by applying hyperspectral camera which can collect the hyperspectral data of the oil. By extracting desired spectral signature from hundreds of band information, one can detect and identify oil spill area in vast geographical regions. There are now numerous hyperspectral image processing algorithms developed for target detection. In this paper, we investigate several most widely used target detection algorithm for the identification of surface oil spills in ocean environment. In the experiments, we applied a hyperspectral camera to collect the real life oil spill. The experimental results shows the feasibility of oil spill detection using hyperspectral imaging and the performance of hyperspectral image processing algorithms were also validated.

Citation Download Citation

Hui Yu, Qun Wang, Zhen Zhang, Zhi-jie Zhang, Wei Tang, Xin Tang, Song Yue, and Chen-sheng Wang "Oil spill detection using hyperspectral infrared camera", Proc. SPIE 10030, Infrared, Millimeter-Wave, and Terahertz Technologies IV, 100301G (11 January 2017); https://doi.org/10.1117/12.2244924

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available