OSRanP: A novel way for radar imaging utilizing joint sparsity and low-rankness
W Pu, J Wu - IEEE Transactions on Computational Imaging, 2020 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) has extensive applications in both civilian and military fields
for its ability to create high-resolution images of the ground target without being affected by …
for its ability to create high-resolution images of the ground target without being affected by …
SAR image reconstruction via incremental imaging with compressive sensing
For synthetic aperture radar (SAR) imaging, the irregular loss of received data and the
nonuniformly under sampling yield the SAR azimuth ambiguity (SAA) resulting in the …
nonuniformly under sampling yield the SAR azimuth ambiguity (SAA) resulting in the …
SAR imaging with undersampled data via matrix completion
D Yang, G Liao, S Zhu, X Yang… - IEEE Geoscience and …, 2014 - ieeexplore.ieee.org
High-resolution synthetic aperture radar (SAR) imagery of a wide area of surveillance is a
difficult large-data problem. In the past few years, researchers have applied compressive …
difficult large-data problem. In the past few years, researchers have applied compressive …
A sparse SAR imaging method based on multiple measurement vectors model
In recent decades, compressive sensing (CS) is a popular theory for studying the inverse
problem, and has been widely used in synthetic aperture radar (SAR) image processing …
problem, and has been widely used in synthetic aperture radar (SAR) image processing …
Compressed sensing SAR imaging based on centralized sparse representation
JC Ni, Q Zhang, Y Luo, L Sun - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Sparse representation based synthetic aperture radar (SAR) imaging approaches have
shown their superior performance and great potential in compressed sensing SAR imaging …
shown their superior performance and great potential in compressed sensing SAR imaging …
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 …
Deep SAR imaging and motion compensation
W Pu - IEEE Transactions on Image Processing, 2021 - ieeexplore.ieee.org
Compressive sensing (CS) and matrix sensing (MS) techniques have been applied to the
synthetic aperture radar (SAR) imaging problem to reduce the sampling amount of SAR …
synthetic aperture radar (SAR) imaging problem to reduce the sampling amount of SAR …
Sparse synthetic aperture radar imaging from compressed sensing and machine learning: Theories, applications, and trends
Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …
Fast compressed sensing SAR imaging based on approximated observation
In recent years, compressed sensing (CS) has been applied in the field of synthetic aperture
radar (SAR) imaging and shows great potential. The existing models are, however, based …
radar (SAR) imaging and shows great potential. The existing models are, however, based …
Compressive sensing‐based inverse synthetic radar imaging imaging from incomplete data
The applicability of compressive sensing (CS) to radar imaging has been recently proven
and its capability to construct reliable radar images from a limited set of measurements …
and its capability to construct reliable radar images from a limited set of measurements …