Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Fish identification method with multi-feature and multidirectional data fused

A technology of data fusion and identification methods, applied in the re-radiation of sound waves, the use of re-radiation, measurement devices, etc.

Inactive Publication Date: 2015-06-17
HARBIN ENG UNIV
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of high-precision fish recognition based on acoustic data, and provide a multi-feature and multi-directional data fusion fish recognition method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fish identification method with multi-feature and multidirectional data fused
  • Fish identification method with multi-feature and multidirectional data fused
  • Fish identification method with multi-feature and multidirectional data fused

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] Below in conjunction with accompanying drawing and implementation the present invention will be further introduced:

[0054] Step (01) Utilize a single-beam transmitting transducer to transmit acoustic signals to the fish, use M hydrophones to receive fish scattered acoustic signals in M ​​different directions, and obtain multi-directional fish scattered data at the same time, M=6~ 9.

[0055] Step (02) performing normalization, filtering and other processing on the obtained multi-directional sound scattering signal;

[0056] Step (03) extracting the wavelet packet coefficient singular value and time-domain centroid features, and performing feature fusion, the specific method is:

[0057]Step (03) obtains the singular value of the wavelet packet coefficient by formula (1):

[0058] SD m , n = λ m , ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the field of acoustic fish identification, in particular to a fish identification method with multi-feature and multidirectional data fused. The method comprises the steps that acoustical signals are emitted to the underwater, and fish body multidirectional acoustic scattering signals are acquired; the acquired multidirectional acoustic scattering signals are normalized and filtered; the preprocessed signals are subjected to multi-feature extraction; the preprocessed multidirectional acoustic scattering data are subjected to orthogonal transformation, envelopes are extracted, the wavelet packet coefficient singular value features, the time domain mass center features and the frequency domain mass center features of envelope information are extracted, and feature fusion and dimension reduction processing are conducted. The multidirectional data acquiring method is simple and easy to implement. Based on the extracted multiple features, the multidirectional acoustical scattering features are subjected to collaboration fusion, the fusion degree is high, fusion is compact, and the problems that identification is not clear, and correct identification even cannot be achieved when only single-dimension acoustical scattering information is classified can be effectively solved.

Description

technical field [0001] The invention relates to the field of acoustic fish identification, in particular to a multi-feature and multi-directional data fusion fish identification method. Background technique [0002] The invention patent in the actual examination "a fish identification method and system based on wavelet packet multi-scale information entropy, publication number: 103308919A" introduces a fish identification method, which is characterized by a single feature based on a single orientation data However, fish is a complex sound scatterer. The orientation, size and shape of the fish body and swim bladder seriously affect the sound scattering characteristics of the fish, which makes the sound scattering signal of the fish very complicated. From the complex signal Extracting features that can reflect the intrinsic acoustic scattering characteristics of fish is particularly important in fish identification. The scattering characteristics of fish in different acoustic...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01S15/96G01S7/539
CPCG01S15/96G01S7/539
Inventor 杜伟东李海森李若马丞浩
Owner HARBIN ENG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com