Indexed by:会议论文
Date of Publication:2017-08-01
Page Number:6
Key Words:小波包变换;子带能量;特征提取;鱼类识别
Abstract:本文提出一种基于回波信号子带能量的鱼类识别方法。该方法是利用小波包变换提取鱼体回波信号子带能量,并将其作为识别特征量,最后通过BP神经网络和支持向量机完成不同鱼体分类识别。通过在消声水池中测量三种常见不同形状鱼体的回波信号,对该方法进行验证。结果表明:将子带能量作为识别特征量可实现不同现状鱼体的识别且具有良好的分类效果。三种鱼体使用BP神经网络和支持向量机的识别率分别为:90%和96.7%。
Associate Professor
Supervisor of Master's Candidates
Title : Deputy director of Institute of Underwater Acoustic Engineering
Gender:Male
Alma Mater:Huazhong University of Science and Technology
Degree:Doctoral Degree
School/Department:School of Naval Architecture
Discipline:Underwater Acoustic Engineering. Design and Manufacture of Ship and Ocean Structure
Business Address:Room 511, Experiment Building Complex
Contact Information:lujh@dlut.edu.cn
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