Open AccessSurvey of Marine Organisms Based on Passive Acoustic Technology
Author(s) -
Chen Gong,
Lei Cai,
Lv Zong,
Yan Wang,
Xin Yuan
Publication year - 2020
Publication title -
international journal of design and nature and ecodynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 13
eISSN - 1755-7445
pISSN - 1755-7437
DOI - 10.18280/ijdne.150515
Subject(s) - signal (programming language) , computer science , fish <actinopterygii> , signal processing , acoustics , workflow , decomposition , key (lock) , feature extraction , speech recognition , pattern recognition (psychology) , artificial intelligence , fishery , telecommunications , ecology , database , physics , biology , radar , computer security , programming language
Passive acoustic technology (PAT) is an important tool to acquire the passive acoustic signals from marine organisms. In this paper, PAT fish detection is introduced at great length, including the relevant instruments, signal processing methods, and workflow. Focusing on the key tasks of PAT fish detection, the authors proposed a sparse decomposition algorithm that extracts coherent ratio of passive fish acoustic signal, and designed a feature extraction method for that signal based on speech imitation technology. Experimental results demonstrate that the proposed sparse decomposition algorithm can detect fish acoustic signal accurately at low signal-to-noise ratios (SNRs), and the proposed feature extraction method can effectively extract fish acoustic signals from the marine background. The research results shed important new light on the protection and management of fishery resources in the seas and oceans.