ESRTMDet: An End-to-End Super-Resolution Enhanced Real-Time Rotated Object Detector for Degraded Aerial Images

ESRTMDet: An End-to-End Super-Resolution Enhanced Real-Time Rotated Object Detector for Degraded Aerial Images

The degradation of image resolution reduces the detection performance in aerial imagery because it generates a large number of small objects, and accurately detecting these small objects remains a challenge. Existing methods mostly use a superresolution (SR) model to first obtain the SR image of the...

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Bibliographic Details
Main Authors: Fei Liu, Renwen Chen, Junyi Zhang, Shanshan Ding, Hao Liu, Shaofei Ma, Kailing Xing
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Aerial image
deep learning
remote sensing
rotated object detection (ROD)
small object detection (SOD)
superresolution (SR)
Online Access:https://ieeexplore.ieee.org/document/10130374/

Internet

https://ieeexplore.ieee.org/document/10130374/

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