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Application of image quality assessment in marine biological density prediction

Monitoring the change of seawater biological number is very important for nuclear power plant. A large number of sea biological invasion will plug the nuclear power plant into the water source cold source device, resulting in unit unplanned shutdown. At present, facing to the unknown sea biological invasion, the nuclear power plant only can do some additional interceptor network and take artificial salvage, they haven't find a better solution to the response and the situation is very serious. Therefore, in order to ensure the safety of circulating water from nuclear power plants, to minimize or avoid the huge economic losses caused by sea outbreaks, our research team uses sonar and underwater camera to monitor the biological status of water in the open channel, and provides important warning information for biological invasion. In this paper, a non-reference image quality evaluation algorithm is used to evaluate the quality of sonar image, which is the foundation for the next step of image feature extraction, data fusion and sea biological density modeling.