SHIP-YOLO: A Lightweight Synthetic Aperture Radar Ship Detection Model Based on YOLOv8n Algorithm

SHIP-YOLO: A Lightweight Synthetic Aperture Radar Ship Detection Model Based on YOLOv8n Algorithm

In response to the challenges posed by small objects, high noise, and complex backgrounds in synthetic aperture radar (SAR) ship detection, we proposed a lightweight model called SHIP-YOLO. In the neck of YOLOv8n, we replaced ordinary convolution (Conv) with a lighter ghost convolution (GhostConv) a...

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Bibliographic Details
Main Authors: Yonghang Luo, Ming Li, Guihao Wen, Yunfei Tan, Chaoshan Shi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Computer vision
deep learning
object detection
radar remote sensing
synthetic aperture radar
Online Access:https://ieeexplore.ieee.org/document/10460531/

Internet

https://ieeexplore.ieee.org/document/10460531/

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