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Proceedings Paper

An oil film information retrieval method overcoming the influence of sun glitter, based on AISA+ airborne hyper-spectral image
Author(s): Yuanzeng Zhan; Tianming Mao; Fang Gong; Difeng Wang; Jianyu Chen
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Paper Abstract

As an effective survey tool for oil spill detection, the airborne hyper-spectral sensor affords the potentiality for retrieving the quantitative information of oil slick which is useful for the cleanup of spilled oil. But many airborne hyper-spectral images are affected by sun glitter which distorts radiance values and spectral ratios used for oil slick detection. In 2005, there's an oil spill event leaking at oil drilling platform in The South China Sea, and an AISA+ airborne hyper-spectral image recorded this event will be selected for studying in this paper, which is affected by sun glitter terribly. Through a spectrum analysis of the oil and water samples, two features -- "spectral rotation" and "a pair of fixed points" can be found in spectral curves between crude oil film and water. Base on these features, an oil film information retrieval method which can overcome the influence of sun glitter is presented. Firstly, the radiance of the image is converted to normal apparent reflectance (NormAR). Then, based on the features of "spectral rotation" (used for distinguishing oil film and water) and "a pair of fixed points" (used for overcoming the effect of sun glitter), NormAR894/NormAR516 is selected as an indicator of oil film. Finally, by using a threshold combined with the technologies of image filter and mathematic morphology, the distribution and relative thickness of oil film are retrieved.

Paper Details

Date Published: 18 October 2010
PDF: 9 pages
Proc. SPIE 7825, Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2010, 78250M (18 October 2010); doi: 10.1117/12.864915
Show Author Affiliations
Yuanzeng Zhan, The Second Institute of Oceanography, SOA (China)
Tianming Mao, The Second Institute of Oceanography, SOA (China)
Fang Gong, The Second Institute of Oceanography, SOA (China)
Difeng Wang, The Second Institute of Oceanography, SOA (China)
Jianyu Chen, The Second Institute of Oceanography, SOA (China)


Published in SPIE Proceedings Vol. 7825:
Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2010
Charles R. Bostater; Stelios P. Mertikas; Xavier Neyt; Miguel Velez-Reyes, Editor(s)

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