POLSAR Target Recognition Using a Feature Fusion Framework Based on Monogenic Signal and Complex-Valued Nonlocal Network

POLSAR Target Recognition Using a Feature Fusion Framework Based on Monogenic Signal and Complex-Valued Nonlocal Network

With the continuous development of synthetic aperture radar (SAR) systems, multipolarization information has been increasingly applied to numerous fields, and automatic target recognition (ATR) in polarimetric SAR (POLSAR) has been recognized as vital problem. The SAR recognition methods can primari...

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Bibliographic Details
Main Authors: Feng Li, Min Yi, Chaoqi Zhang, Weijun Yao, Xueyao Hu, Feifeng Liu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Complex-valued non-local network (CVNLNet)
feature fusion
monogenic signal
polarimetric synthetic aperture radar (POLSAR)
target recognition
Online Access:https://ieeexplore.ieee.org/document/9844230/

Internet

https://ieeexplore.ieee.org/document/9844230/

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