Edge-Optimized Lightweight YOLO for Real-Time SAR Object Detection

Edge-Optimized Lightweight YOLO for Real-Time SAR Object Detection

Synthetic Aperture Radar image object detection holds significant application value in both military and civilian domains. However, existing deep learning-based methods suffer from excessive model parameters and high computational costs, making them impractical for real-time deployment on edge compu...

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Bibliographic Details
Main Authors: Caiguang Zhang, Ruofeng Yu, Shuwen Wang, Fatong Zhang, Shaojia Ge, Shuangshuang Li, Xuezhou Zhao
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Remote Sensing
Subjects:
lightweight object detection
SAR
edge device
YOLO
real-time processing
Online Access:https://www.mdpi.com/2072-4292/17/13/2168
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