Underwater multispectral imaging system for environmental monitoring

In this article, we present a novel underwater monitoring system based on the hyperspectral imager. This system consists of the commercial hyperspectral camera and white-colored LED lighting. We evaluated the performance of the proposed hyperspectral imaging system by conducting the small scale experiments to identify the difference of two different oil samples. For the classification between oil samples and seawater, we analyzed the spectrum profiles of oils and seawater. Though that, we can clearly not only distinguish the oil samples from seawater but also distinguish the bunker C oil from lubricating oil. This result shows the feasibility to application of our proposed setup for the underwater oil spill monitoring system.