SFRADNet: Object Detection Network with Angle Fine-Tuning Under Feature Matching

SFRADNet: Object Detection Network with Angle Fine-Tuning Under Feature Matching

Due to the distant acquisition and bird’s-eye perspective of remote sensing images, ground objects are distributed in arbitrary scales and multiple orientations. Existing detectors often utilize feature pyramid networks (FPN) and deformable (or rotated) convolutions to adapt to variations in object...

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Bibliographic Details
Main Authors: Keliang Liu, Yantao Xi, Donglin Jing, Xue Zhang, Mingfei Xu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Remote Sensing
Subjects:
remote sensing image
one-stage detector
deformable convolutions
scale feature
orientation feature
Online Access:https://www.mdpi.com/2072-4292/17/9/1622
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