Multi-Scale Ship Detection From SAR and Optical Imagery Via A More Accurate YOLOv3

Multi-Scale Ship Detection From SAR and Optical Imagery Via A More Accurate YOLOv3

Deep learning detection methods use in ship detection remains a challenge, owing to the small scale of the objects and interference from complex sea surfaces. In addition, existing ship detection methods rarely verify the robustness of their algorithms on multisensor images. Thus, we propose a new i...

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Bibliographic Details
Main Authors: Zhonghua Hong, Ting Yang, Xiaohua Tong, Yun Zhang, Shenlu Jiang, Ruyan Zhou, Yanling Han, Jing Wang, Shuhu Yang, Sichong Liu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning-based object detection
synthetic aperture radar (SAR) and optical imagery
ship detection
“you only look once”version 3 (YOLOv3)
Online Access:https://ieeexplore.ieee.org/document/9448440/

Internet

https://ieeexplore.ieee.org/document/9448440/

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