A Marine Biometrics Recognition Method Based on Feature Fusion and Deep Belief Network

Abstract

The present invention relates to a marine biological recognition method based on feature fusion and deep belief network, which solves the problem that the robust performance and recognition accuracy of the algorithm are very limited due to the existing marine acoustic signal feature extraction and classification methods. The specific steps of the present invention are as follows : Acquire the acoustic signal S(n), preprocess the acquired acoustic signal; extract the characteristic parameters of the perceptual linear prediction coefficient (PLP) and the characteristic parameters of the Mel cepstral coefficient (MFCC), and fuse the characteristic parameters of the PLP and the MFCC Generate new feature parameters; perform principal component analysis on new feature parameters; build a deep belief network for learning; complete the identification of marine organisms. The invention can quickly identify marine organisms, has high identification accuracy and strong robustness, and has great research significance and broad application prospects on issues closely related to people's livelihood such as marine organism research, marine disaster relief, and resource exploration.

Description

technical field [0001] The invention relates to the technical field of marine biological identification, in particular to a marine biological identification method based on feature fusion and deep belief network. Background technique [0002] Marine biological identification aims to realize the judgment of biological types in a non-contact way. Its passive identification technology uses passive sonar to receive target acoustic signals for classification and identification. It has great research significance and broad application prospects on issues closely related to people's livelihood such as marine biological research, marine disaster relief and resource exploration. [0003] Due to the complexity of the marine environment and the limitations of various aspects, marine target recognition technology is an extremely difficult research topic. At present, the technical problems that need to be solved mainly include: 1. Small sample or unsupervised learning and recognition pro...

AI Technical Summary

Problems solved by technology

[0004] At present, there are many researches on the recognition of marine organisms and ships at home and abroad. However, most of them use traditional feature extraction and classification methods, which have many problems and deficiencies. The robust performance and recognition accuracy of the algorithm are very limited.

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