YOLOv7oSAR: A Lightweight High-Precision Ship Detection Model for SAR Images Based on the YOLOv7 Algorithm

YOLOv7oSAR: A Lightweight High-Precision Ship Detection Model for SAR Images Based on the YOLOv7 Algorithm

Researchers have explored various methods to fully exploit the all-weather characteristics of Synthetic aperture radar (SAR) images to achieve high-precision, real-time, computationally efficient, and easily deployable ship target detection models. These methods include Constant False Alarm Rate (CF...

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Bibliographic Details
Main Authors:	Yilin Liu, Yong Ma, Fu Chen, Erping Shang, Wutao Yao, Shuyan Zhang, Jin Yang
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Series:	Remote Sensing
Subjects:	YOLO algorithm ship detection oriented bounding box Synthetic aperture radar (SAR) images
Online Access:	https://www.mdpi.com/2072-4292/16/5/913

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