11 January 2017 Oil spill detection using hyperspectral infrared camera
Author Affiliations +
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hui Yu, Hui Yu, Qun Wang, Qun Wang, Zhen Zhang, Zhen Zhang, Zhi-jie Zhang, Zhi-jie Zhang, Wei Tang, Wei Tang, Xin Tang, Xin Tang, Song Yue, Song Yue, Chen-sheng Wang, Chen-sheng Wang, } "Oil spill detection using hyperspectral infrared camera", Proc. SPIE 10030, Infrared, Millimeter-Wave, and Terahertz Technologies IV, 100301G (11 January 2017); doi: 10.1117/12.2244924; https://doi.org/10.1117/12.2244924
PROCEEDINGS
10 PAGES


SHARE
Back to Top