A Review of Underwater Target Recognition Based on Deep Learning. Issue 1 (April 2021)

• Record Type: Journal Article
• Authors: Chen, Yujie; Niu, Haichun; Chen, Huiwei; Liu, Xiaoling
• Is Part Of: Journal of physics. Volume 1881:Issue 1(2021)
• Publication Date: 2021-04
• Subjects: Underwater Target -- Identification -- Deep Learning; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1881/4/042031
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Underwater target detection is an important part of national defense, which is related to national defense security. Underwater target recognition technology based on deep learning has made great progress in recent years, but there are still some problems, such as the feature is not obvious, the contour is not obvious, and so on. This paper introduces the current situation of underwater target recognition based on deep learning, analyzes the commonly used deep learning methods, and provides a new idea for the further research of underwater target recognition based.