Fish identification method and system based on wavelet packet multi-scale information entropy

Abstract

The invention relates to a fish identification method and system based on wavelet packet multi-scale information entropy. The method, based on an active sonar identification strategy, comprises step 101): sending a sound signal to an underwater fish body and obtaining an echo signal backscattered from the underwater fish body; step 102): performing a filtering and an amplitude normalization preprocessing on the collected echo data of the fish body; step 103): extracting features of the preprocessed echo signal with a specific method being as follows: performing a wavelet packet multi-scale decomposition on the preprocessed echo signal to obtain a wavelet packet coefficient, and reconstituting the wavelet packet coefficient to obtain a time-domain signal in each frequency band of the fish body echo signal, and then extracting information entropy of the time-domain signal obtained through reconstituting the wavelet packet coefficient, wherein the information entropy constitutes a feature quantity; and step 104): inputting the feature quantity into a classifier to perform a classification treatment so that kind identification of the underwater fish body is completed.

Description

technical field [0001] The invention relates to a fish recognition technology based on an acoustic method, in particular to a fish recognition method and system based on wavelet packet multi-scale information entropy. Background technique [0002] With the increasing demand of human beings for marine resources, the development of marine fishery resources has been paid more and more attention. Fishery resource investigation and assessment work is an important basis for the rational development of marine fishery resources, which requires the ability to quickly identify fish species. [0003] The traditional fish resource survey method is mainly based on the trawling method. Compared with the traditional trawling identification method, the acoustic method has the advantages of fast and convenient, no damage to biological resources, and sustainable observation. Therefore, in recent years, relevant foreign research institutions have vigorously developed fish identification techn...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the problems of feature extraction of fish body echo signals in the prior art, resulting in high feature dimension of the acquired echo signals, large redundancy, unsatisfactory classification and recognition effects, etc., thereby providing A fish identification method and system based on wavelet packet multi-scale information entropy

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