From theory to application: Real-time sparse SAR imaging

H Bi, G Bi, B Zhang, W Hong… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, the sparse signal processing technique has shown significant potential in
synthetic aperture radar (SAR) imaging, such as image performance improvement and …

Complex-image-based sparse SAR imaging and its equivalence

H Bi, G Bi, B Zhang, W Hong - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Using sparse signal processing to replace matched filtering (MF) in synthetic aperture radar
(SAR) imaging has shown significant potential to improve image quality. Due to the huge …

A 3-D sparse SAR imaging method based on plug-and-play

Y Wang, Z He, X Zhan, Q Zeng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In recent years, 3-D synthetic aperture radar (SAR) imaging has proved its great potential in
monitoring, security inspection, and radar cross section (RCS) measurement. However, 3-D …

Near-field 3D sparse SAR direct imaging with irregular samples

S Xing, S Song, S Quan, D Sun, J Wang, Y Li - Remote Sensing, 2022 - mdpi.com
Sparse imaging is widely used in synthetic aperture radar (SAR) imaging. Compared with
the traditional matched filtering (MF) methods, sparse SAR imaging can directly image the …

Sparse SAR imaging and quantitative evaluation based on nonconvex and TV regularization

Z Xu, B Zhang, G Zhou, L Zhong, Y Wu - Remote Sensing, 2021 - mdpi.com
Sparse signal processing has been used in synthetic aperture radar (SAR) imaging due to
the maturity of compressed sensing theory. As a typical sparse reconstruction method, L 1 …

Sparse logistic regression based one-bit sar imaging

S Ge, D Feng, S Song, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
One-bit synthetic aperture radar (SAR) imaging has garnered significant interest due to its
ability to lower the cost of storing enormous amounts of data during sampling and …

An accurate sparse SAR imaging method for enhancing region-based features via nonconvex and TV regularization

Z Xu, M Liu, G Zhou, Z Wei, B Zhang… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
With the rapid development of compressed sensing theories and applications, sparse signal
processing has been widely used in synthetic aperture radar (SAR) imaging during the …

FMCW SAR sparse imaging based on approximated observation: An overview on current technologies

H Bi, D Zhu, G Bi, B Zhang, W Hong… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Sparsity-driven synthetic aperture radar (SAR) imaging technique for frequency modulation
continuous wave (FMCW) has already shown the superiority in terms of performance …

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 …

Sparse SAR imaging based on periodic block sampling data

H Bi, X Lu, Y Yin, W Yang, D Zhu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recently, a novel design scheme of low-earth-orbit spaceborne mini-synthetic aperture
radar (MiniSAR) system is proposed to exploit the integrated transceiver to collect the …