An Efficient Network Based on Conjugate Gradient Optimization and Approximate Observation Model for SAR Image Reconstruction

Deep learning has been successfully applied to solve the synthetic aperture radar (SAR) imaging problem, which shows superior imaging performance to compressive sensing (CS)-based methods under sparse sampling conditions. However, due to the computation of the large-scale matrix, the optimal searchi...

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Detalhes bibliográficos

Principais autores:	Song Zhou, Jing Chen, Zao Wang, Yuhao Wang, Pin Wen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Approximate observation model conjugate gradient (CG) algorithm convolutional neural network (CNN) regularization synthetic aperture radar (SAR) imaging
Acesso em linha:	https://ieeexplore.ieee.org/document/10815077/
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