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Using Echo Ultrasound from Schooling Fish to Detect and Classify Fish Types
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作者 Yeffry Handoko yul.y.nazaruddin Huosheng Hu 《Journal of Bionic Engineering》 SCIE EI CSCD 2009年第3期264-269,共6页
Fish finders have already been widely available in the fishing market for a number of years.However,the sizes of these fish finders are too big and their prices are expensive to suit for the research of robotic fish o... Fish finders have already been widely available in the fishing market for a number of years.However,the sizes of these fish finders are too big and their prices are expensive to suit for the research of robotic fish or mini-submarine.The goal of this research is to propose a low-cost fish detector and classifier which suits for underwater robot or submarine as a proximity sensor. With some pre-condition in hardware and algorithms,the experimental results show that the proposed design has good per- formance,with a detection rate of 100 % and a classification rate of 94 %.Both the existing type of fish and the group behavior can be revealed by statistical interpretations such as hovering passion and sparse swimming mode. 展开更多
关键词 fish detection classincation artificial neural network ultrasound sensor
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