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 …
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 …
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 …
SAF-3DNet: Unsupervised AMP-inspired network for 3-D MMW SAR imaging and autofocusing
Z Zhou, S Wei, H Zhang, R Shen… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
The sparse imaging method based on compressed sensing (CS) is widely used in the field
of millimeter-wave (MMW) synthetic aperture radar (SAR) imaging. However, 3-D sparse …
of millimeter-wave (MMW) synthetic aperture radar (SAR) imaging. However, 3-D sparse …
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 …
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 …
Knowledge-aided 2-D autofocus for spotlight SAR range migration algorithm imagery
X Mao, X He, D Li - IEEE Transactions on Geoscience and …, 2018 - ieeexplore.ieee.org
With continuous improvement of the synthetic aperture radar (SAR) resolution, the 2-D
defocus effect in SAR image resulting from uncompensated motion error has made …
defocus effect in SAR image resulting from uncompensated motion error has made …
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 …
Joint structured sparsity and least entropy constrained sparse aperture radar imaging and autofocusing
C Zhang, S Zhang, Y Liu, X Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
For sparse aperture (SA) radar imaging, the phase errors are difficult to be estimated, which
challenges the traditional autofocusing for inverse synthetic aperture radar (ISAR) imaging …
challenges the traditional autofocusing for inverse synthetic aperture radar (ISAR) imaging …
A coarse-to-fine autofocus approach for very high-resolution airborne stripmap SAR imagery
J Li, J Chen, P Wang, O Loffeld - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
An autofocus operation is an indispensable procedure to obtain well-focused images for
synthetic-aperture radar (SAR) systems without precise navigation devices. Three …
synthetic-aperture radar (SAR) systems without precise navigation devices. Three …