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Underwater Visualization for Fish Behaviour Model in the Towed Fisheries using Chaos Theory  

박명철 (경상대학교 컴퓨터과학과)
김용해 (경상대학교 해양생산학과, 컴퓨터정보통신연구소)
하석운 (경상대학교 컴퓨터과학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.8, no.3, 2004 , pp. 645-653 More about this Journal
Abstract
The prediction and its visualization on fish behaviour in relation to fishing gear are carried out based on field detection and observation during fishing operation. However, field observation is very difficult due to variable underwater environments and accordingly due to complex, chaotic response of fish behaviour in the physiological and ecological points. Therefore simple graphic display in previous results was not enough to represent real underwater images of the fishing gear and fish behaviour. In this study more actual visualization technique was developed using by previous fish behaviour model with chaos theory in order to predict, evaluate or analyse complex and non-linear phenomena of response patterns in complex fish behaviour. In addition, display of the fish finder was also designed to simulate the underwater fish detection and distribution in fishing ground. This suggested visualization tool was very similar to the information of the fish movement in the field observation in visual underwater reality and useful to check up between simulations and observations.
Keywords
Chaotic Behavioral Model; Visualization; Fish Movements; Towed Fishing Gear;
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