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 …
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 …
Feature preserving autofocus algorithm for phase error correction of SAR images
H Lee, CS Jung, KW Kim - Sensors, 2021 - mdpi.com
Autofocus is an essential technique for airborne synthetic aperture radar (SAR) imaging to
correct phase errors mainly due to unexpected motion error. There are several well-known …
correct phase errors mainly due to unexpected motion error. There are several well-known …
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 …
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 …
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 …
SAR image autofocus utilizing minimum-entropy criterion
T Zeng, R Wang, F Li - IEEE Geoscience and Remote Sensing …, 2013 - ieeexplore.ieee.org
An autofocus method was presented based on an entropy criterion for synthetic aperture
radar imaging. An iterative method, through minimizing the entropy, was derived to obtain …
radar imaging. An iterative method, through minimizing the entropy, was derived to obtain …
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 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 …
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 …