YOLO-Extract: Improved YOLOv5 for Aircraft Object Detection in Remote Sensing Images

YOLO-Extract: Improved YOLOv5 for Aircraft Object Detection in Remote Sensing Images

Compared with natural images, remote sensing targets have small and dense target shapes as well as complex target backgrounds. As a result, insufficient detection accuracy and target location cannot be accurately identified. So, this paper proposes the YOLO-extract algorithm based on the YOLOv5 algo...

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Bibliographic Details
Main Authors: Zhiguo Liu, Yuan Gao, Qianqian Du, Meng Chen, Wenqiang Lv
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Remote sensing aircraft target
YOLOv5
structure optimization
dilated convolution
focal-α IoU loss
Online Access:https://ieeexplore.ieee.org/document/10005162/

Internet

https://ieeexplore.ieee.org/document/10005162/

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