YOLO-HR: Improved YOLOv5 for Object Detection in High-Resolution Optical Remote Sensing Images

YOLO-HR: Improved YOLOv5 for Object Detection in High-Resolution Optical Remote Sensing Images

Object detection is essential to the interpretation of optical remote sensing images and can serve as a foundation for research into additional visual tasks that utilize remote sensing. However, the object detection network currently employed in optical remote sensing images underutilizes the output...

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Bibliographic Details
Main Authors: Dahang Wan, Rongsheng Lu, Sailei Wang, Siyuan Shen, Ting Xu, Xianli Lang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
object detection
remote sensing image
attention mechanism
large resolution image
feature reuse
deep learning
Online Access:https://www.mdpi.com/2072-4292/15/3/614

Internet

https://www.mdpi.com/2072-4292/15/3/614

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