Ship Target Detection Algorithm Based on Improved YOLOv3 for Maritime Image
Accurate identification of ships is the key technology of intelligent transportation in water. At the same time, it also provides a judgment basis for water traffic safety control. This paper proposed a detection method of ships in water based on improved You Only Look Once version 3 (YOLOv3), which...
Saved in:
Main Authors: | Dehai Chen, Shiru Sun, Zhijun Lei, Heng Shao, Yuzhao Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2021/9440212 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Maritime Small Object Detection Algorithm in Drone Aerial Images Based on Improved YOLOv8
by: Peng Ling, et al.
Published: (2024-01-01) -
An insulator target detection algorithm based on improved YOLOv5
by: Bing Zeng, et al.
Published: (2025-01-01) -
An Improved Detecting Algorithm of Moving Targets for Airborne Maritime Surveillance Radar
by: Zhefeng Wu, et al.
Published: (2025-01-01) -
Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement
by: Xiaoyi Hao, et al.
Published: (2025-01-01) -
Improved YOLOv5s Algorithm for Small Target Detection in UAV Aerial Photography
by: Shixin Li, et al.
Published: (2024-01-01)