Underwater sonar image unsupervised classification method based on class consciousness field adaptation

Abstract

The invention provides an underwater sonar image unsupervised classification method based on class consciousness domain self-adaptation. The method comprises the steps of (1) using a generative adversarial network for constructing and generating a data set; (2) proposing an improved method based on an adversarial auto-encoder to construct a domain-adaptive source domain; (3) proposing to constructa domain-adaptive target domain based on an adversarial learning method; and (4) training a target domain, and completing unsupervised classification of the underwater sonar images on the balanced native data set and the non-balanced native data set. According to the invention, two GANs of CGAN and DCGAN are used to generate images so as to construct an underwater sonar image generation data set,and an unsupervised domain adaptive method is introduced into unsupervised classification of underwater sonar images according to the situation of label missing. And a balanced underwater sonar imagenative data set and an unbalanced underwater sonar image native data set are simultaneously constructed to verify the adaptability of the method provided by the invention.

Description

technical field [0001] The invention relates to an unsupervised classification method for underwater sonar images, in particular to an adaptive unsupervised classification method for underwater sonar images based on class awareness domain, which belongs to the field of underwater sonar image classification. Background technique [0002] Since the country put forward the strategy of developing a marine power, new requirements have been put forward for ocean exploration, resource utilization, and marine technology and equipment. How to more accurately discover marine resources is the premise of marine exploration and utilization, and since marine resources are mainly natural gas, marine organisms, and ship remains, relevant underwater detection and identification technologies have become the key to marine exploration and utilization technology. Mastering and innovating underwater resource classification technology is the premise of detection and identification, therefore, und...

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This also greatly affects the classification research of underwater sonar images

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