A Multiscale Convolution SAR Image Target Recognition Method Based on Complex-Valued Neural Networks

A Multiscale Convolution SAR Image Target Recognition Method Based on Complex-Valued Neural Networks

Recent advances in deep learning have driven significant success in synthetic aperture radar (SAR) automatic target recognition, particularly through convolutional neural network (CNN) based classification algorithms. However, SAR images possess distinctive physical scattering properties, owing to t...

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Bibliographic Details
Main Authors: Guangyu Hou, Zhihui Xin, Guisheng Liao, Penghui Huang, Yuhao Huang, Rui Zou
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Complex-valued convolution neural network (CVCNN)
phase
synthetic aperture radar (SAR)
target recognition
Online Access:https://ieeexplore.ieee.org/document/10960712/
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