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 …
Dream-pcd: Deep reconstruction and enhancement of mmwave radar pointcloud
Millimeter-wave (mmWave) radar pointcloud offers attractive potential for 3D sensing, thanks
to its robustness in challenging conditions such as smoke and low illumination. However …
to its robustness in challenging conditions such as smoke and low illumination. However …
Pattern-coupled sparse Bayesian learning for inverse synthetic aperture radar imaging
We propose a pattern-coupled sparse Bayesian learning method for inverse synthetic
aperture radar (ISAR) imaging by exploiting a block-sparse structure inherent in ISAR target …
aperture radar (ISAR) imaging by exploiting a block-sparse structure inherent in ISAR target …
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 …
Joint sparsity-based imaging and motion error estimation for BFSAR
W Pu, J Wu, X Wang, Y Huang, Y Zha… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Due to its flexibility and low cost, the bistatic forward-looking synthetic aperture radar
(BFSAR) which employs side-looking transmitter and forward-looking receiver has been …
(BFSAR) which employs side-looking transmitter and forward-looking receiver has been …
Fast factorized backprojection imaging algorithm integrated with motion trajectory estimation for bistatic forward-looking SAR
W Pu, J Wu, Y Huang, J Yang… - IEEE Journal of Selected …, 2019 - ieeexplore.ieee.org
A bistatic forward-looking synthetic aperture radar (BFSAR) is increasingly in the focus of
study, as it breaks through the limitations of imaging on a forward-looking terrain of a moving …
study, as it breaks through the limitations of imaging on a forward-looking terrain of a moving …
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 …
A generalized phase gradient autofocus algorithm
A Evers, JA Jackson - IEEE Transactions on Computational …, 2019 - ieeexplore.ieee.org
The phase gradient autofocus (PGA) algorithm has seen widespread use and success
within the synthetic aperture radar (SAR) imaging community. However, its use and success …
within the synthetic aperture radar (SAR) imaging community. However, its use and success …
Two-dimensional autofocus for spotlight SAR polar format imagery
X Mao, D Zhu - IEEE Transactions on Computational Imaging, 2016 - ieeexplore.ieee.org
Conventional two-dimensional (2-D) autofocus algorithms blindly estimate the phase error in
the sense that they do not exploit any a priori information on the structure of the 2-D phase …
the sense that they do not exploit any a priori information on the structure of the 2-D phase …
Fast compressive sensing-based SAR imaging integrated with motion compensation
W Pu, Y Huang, J Wu, H Yang, J Yang - IEEE Access, 2019 - ieeexplore.ieee.org
Recently, compressive sensing (CS) has been applied in synthetic aperture radar (SAR)
imaging, which is increasingly in the focus of study and shows great potential. In CS-based …
imaging, which is increasingly in the focus of study and shows great potential. In CS-based …