Deep learning algorithm for SAR autofocus
W Pu - 2021 XXXIVth General Assembly and Scientific …, 2021 - ieeexplore.ieee.org
The sparsity-driven technique is a widely used tool to solve the SAR imaging problem.
However, it always encounters the sensitivity to motion errors. To solve this problem, this …
However, it always encounters the sensitivity to motion errors. To solve this problem, this …
SAE-Net: A deep neural network for SAR autofocus
W Pu - IEEE Transactions on Geoscience and Remote …, 2022 - ieeexplore.ieee.org
The sparsity-driven technique is a widely used tool to solve the synthetic aperture radar
(SAR) imaging problem. However, it always encounters sensitivity to motion errors. To solve …
(SAR) imaging problem. However, it always encounters sensitivity to motion errors. To solve …
Novel SAR Autofocus Method Based on Deep Learning with GAN Network
J Huo, M Li, Z Li, J Wu, J Yang - 2021 CIE International …, 2021 - ieeexplore.ieee.org
This paper focuses on SAR autofocus based on deep learning. Firstly, considering the
influence of phase on radar imaging results, aiming at the problem of defocus of SAR …
influence of phase on radar imaging results, aiming at the problem of defocus of SAR …
Afnet and PAFnet: fast and accurate SAR autofocus based on deep learning
Autofocus plays a key role in synthetic aperture radar (SAR) imaging, especially for high-
resolution imaging. In the literature, the minimum-entropy-based algorithms (MEA) have …
resolution imaging. In the literature, the minimum-entropy-based algorithms (MEA) have …
3-d sar autofocusing with learned sparsity
Inevitable inaccuracies of 3-D synthetic aperture radar (3-D SAR) imaging geometry may
cause undesired blurs in reconstructed images. Recent advances show impressive results …
cause undesired blurs in reconstructed images. Recent advances show impressive results …
SAR image reconstruction and autofocus using complex-valued feature prior and deep network implementation
W Huo, M Li, J Wu, Z Li, J Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) plays an important role in remote sensing by providing
electromagnetic images of the observation scene. The prior knowledge-based SAR image …
electromagnetic images of the observation scene. The prior knowledge-based SAR image …
STLS-LADMM-Net: A deep network for SAR autofocus imaging
M Li, J Wu, W Huo, Z Li, J Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) can provide high-resolution electromagnetic backscattering
images of the illuminated area, playing a significant role in various applications. However …
images of the illuminated area, playing a significant role in various applications. However …
SAR Image Autofocusing using Wirtinger calculus and Cauchy regularization
In this paper, an optimization model using Cauchy regularization is proposed for
simultaneous SAR image reconstruction and autofocusing. An alternating minimization …
simultaneous SAR image reconstruction and autofocusing. An alternating minimization …
Phase error compensation in fourier domain for fast autofocus of spotlight SAR
In SAR imaging, we propose one of metric-based autofocus techniques. By formulating new
metric in Fourier domain, the phase error estimating ability and processing speed are …
metric in Fourier domain, the phase error estimating ability and processing speed are …
Airborne SAR autofocus based on blurry imagery classification
Existing airborne SAR autofocus methods can be classified as parametric and non-
parametric. Generally, non-parametric methods, such as the widely used phase gradient …
parametric. Generally, non-parametric methods, such as the widely used phase gradient …