An Azimuth Aware Deep Reinforcement Learning Framework for Active SAR Target Recognition

An Azimuth Aware Deep Reinforcement Learning Framework for Active SAR Target Recognition

Achieving automatic target recognition in synthetic aperture radar (SAR) imagery is a long-standing difficulty because of the limited training samples and its sensitivity to imaging condition. Active target recognition methods can offer an innovative perspective to improve recognition accuracy compa...

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Bibliographic Details
Main Authors: Xinhua Jiang, Tianpeng Liu, Yongxiang Liu, Shuanghui Zhang, Huangxing Lin, Li Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Active target recognition (AcTR)
contrastive learning
deep reinforcement learning (DRL)
synthetic aperture radar (SAR)
Online Access:https://ieeexplore.ieee.org/document/10427550/

Internet

https://ieeexplore.ieee.org/document/10427550/

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