Adaptive Region Proposal Selection for SAR Target Detection Using Reinforcement Learning

Adaptive Region Proposal Selection for SAR Target Detection Using Reinforcement Learning

Compared with optical images, the background clutter has a greater impact on feature extraction in Synthetic Aperture Radar (SAR) images. Due to the traditional redundant region proposals on the entire feature map, these algorithms generate large quantities of false alarms under the influence of clu...

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Bibliographic Details
Main Authors: Lan DU, Zilin WANG, Yuchen GUO, Yuang DU, Junkun YAN
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2022-10-01
Series:Leida xuebao
Subjects:
synthetic aperture radar (sar)
target detection
reinforcement learning
faster r-cnn
Online Access:https://radars.ac.cn/cn/article/doi/10.12000/JR22121

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