LRDS-YOLO enhances small object detection in UAV aerial images with a lightweight and efficient design

LRDS-YOLO enhances small object detection in UAV aerial images with a lightweight and efficient design

Abstract Small object detection in UAV aerial images is challenging due to low contrast, complex backgrounds, and limited computational resources. Traditional methods struggle with high miss detection rates and poor localization accuracy caused by information loss, weak cross-layer feature interacti...

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Bibliographic Details
Main Authors: Yuqi Han, Chengcheng Wang, Hui Luo, Huihua Wang, Zaiqing Chen, Yuelong Xia, Lijun Yun
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
UAV (unmanned aerial vehicle)
Small object detection
Feature pyramid network
Real time
Attention mechanisms
Online Access:https://doi.org/10.1038/s41598-025-07021-6
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https://doi.org/10.1038/s41598-025-07021-6

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