RS-YOLOX: A High-Precision Detector for Object Detection in Satellite Remote Sensing Images

RS-YOLOX: A High-Precision Detector for Object Detection in Satellite Remote Sensing Images

Automatic object detection by satellite remote sensing images is of great significance for resource exploration and natural disaster assessment. To solve existing problems in remote sensing image detection, this article proposes an improved YOLOX model for satellite remote sensing image automatic de...

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Bibliographic Details
Main Authors: Lei Yang, Guowu Yuan, Hao Zhou, Hongyu Liu, Jian Chen, Hao Wu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
object detection
remote sensing image
attention mechanisms
feature fusion
varifocal loss
Slicing Aided Hyper Inference (SAHI)
Online Access:https://www.mdpi.com/2076-3417/12/17/8707

Internet

https://www.mdpi.com/2076-3417/12/17/8707

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