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 …
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 …
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 …
Fast SAR autofocus based on ensemble convolutional extreme learning machine
Inaccurate Synthetic Aperture Radar (SAR) navigation information will lead to unknown
phase errors in SAR data. Uncompensated phase errors can blur the SAR images …
phase errors in SAR data. Uncompensated phase errors can blur the SAR images …
Time-domain autofocus for ultrahigh resolution SAR based on azimuth scaling transformation
For ultrahigh resolution synthetic aperture radar (SAR), azimuth spectrum aliasing limits the
application of frequency-domain autofocus algorithms. Therefore, time-domain autofocus …
application of frequency-domain autofocus algorithms. Therefore, time-domain autofocus …
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 …
AF-AMPNet: A deep learning approach for sparse aperture ISAR imaging and autofocusing
Inverse synthetic aperture radar (ISAR) imaging and autofocusing are challenging under
sparse aperture (SA) conditions. Traditional imaging or autofocusing methods fail to obtain …
sparse aperture (SA) conditions. Traditional imaging or autofocusing methods fail to obtain …
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 …
Motion compensation for airborne SAR via parametric sparse representation
YC Chen, G Li, Q Zhang, QJ Zhang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
A method of motion status estimation of airborne synthetic aperture radar (SAR) platform in
short subapertures via parametric sparse representation is proposed for high-resolution …
short subapertures via parametric sparse representation is proposed for high-resolution …
Blind NCS-based autofocus for airborne wide-beam SAR imaging
The improvement in azimuth resolution and/or the increase in the instantaneous beam width
can result in a wide-beam autofocus problem in airborne synthetic aperture radar (SAR) …
can result in a wide-beam autofocus problem in airborne synthetic aperture radar (SAR) …