An Efficient Feature Pyramid Network for Object Detection in Remote Sensing Imagery

An Efficient Feature Pyramid Network for Object Detection in Remote Sensing Imagery

Scale diversity, small target, and power limitation have made remote sensing imagery a challenging field in object detection on satellites. Aiming at the aspects of scale diversity and small target, this paper provides a novel feature pyramid network with Adaptive Residual Spatial Bi-Fusion (ARSF) a...

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Bibliographic Details
Main Authors: Fang Qingyun, Zhang Lin, Wang Zhaokui
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Computer vision
object detection
remote sensing
satellites
aerospace engineering
Online Access:https://ieeexplore.ieee.org/document/9091190/

Internet

https://ieeexplore.ieee.org/document/9091190/

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