Open AccessA Review of Underwater Target Recognition Based on Deep Learning
Author(s) -
Yujie Chen,
Hai-chun Niu,
Huiwei Chen,
Xiaoling Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1881/4/042031
Subject(s) - underwater , deep learning , artificial intelligence , computer science , feature (linguistics) , geology , oceanography , linguistics , philosophy
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.