Application and Analysis of the MFF-YOLOv7 Model in Underwater Sonar Image Target Detection

Application and Analysis of the MFF-YOLOv7 Model in Underwater Sonar Image Target Detection

The need for precise identification of underwater sonar image targets is growing in areas such as marine resource exploitation, subsea construction, and ocean ecosystem surveillance. Nevertheless, conventional image recognition algorithms encounter several obstacles, including intricate underwater s...

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Bibliographic Details
Main Authors: Kun Zheng, Haoshan Liang, Hongwei Zhao, Zhe Chen, Guohao Xie, Liguo Li, Jinghua Lu, Zhangda Long
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Journal of Marine Science and Engineering
Subjects:
deep learning
underwater images
underwater target recognition
sonar images
improved YOLO
Online Access:https://www.mdpi.com/2077-1312/12/12/2326
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