Fish identification method and system based on segmented time-domain centroid features

Abstract

The invention discloses a fish identification method and system based on segmented time-domain centroid features. The method, which is an identification strategy based on an active acoustic method, specifically comprises: 101) sending a sound signal to an underwater fish body and obtaining an echo signal scattered from the underwater fish body; 102) performing a filtering and an amplitude normalization preprocessing on the collected echo data of the fish body; 103) extracting features of the preprocessed echo signal with a specific method being as follows: segmenting the echo signal into a plurality of subsegments and extracting time-domain centroid of each subsegment as a feature quantity; and 104) inputting the feature quantities to a classifier to perform a classifying process and thus fish identification of the underwater fish body is completed. A self-adaption segmentation strategy or a uniform segmentation strategy can be adopted in the segmenting method of the step 103). Besides, the self-adaption segmentation strategy or the uniform segmentation strategy is adopted in the invention to segment the echo signal into the plurality of subsegments.

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 segmental time-domain centroid features. 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 technology b...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the prior art by down-sampling the envelope or frequency spectrum of the fish body echo signal and directly using it as the feature quantity, resulting in high feature dimension of the acquired echo signal, large redundancy, and failure to find Reflecting the characteristics of the nature of the target, the classification and recognition results are often unsatisfactory, thus providing a fish recognition method and system based on the centroid characteristics of the segmented time domain

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