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 …
Structured low-rank and sparse method for ISAR imaging with 2-D compressive sampling
With the development of modern advanced radar, there are high demands to perform
inverse synthetic aperture radar (ISAR) imaging from sparse frequency band (SFB) and …
inverse synthetic aperture radar (ISAR) imaging from sparse frequency band (SFB) and …
TPSSI-Net: Fast and enhanced two-path iterative network for 3D SAR sparse imaging
The emerging field of combining compressed sensing (CS) and three-dimensional synthetic
aperture radar (3D SAR) imaging has shown significant potential to reduce sampling rate …
aperture radar (3D SAR) imaging has shown significant potential to reduce sampling rate …
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 …
Lightweight FISTA-inspired sparse reconstruction network for mmW 3-D holography
Integrating compressed sensing (CS) with millimeter-wave (mmW) holography has shown
great potential to achieve lightweight onboard hardware, low sampling ratio, and high-speed …
great potential to achieve lightweight onboard hardware, low sampling ratio, and high-speed …
ISAR resolution enhancement method exploiting generative adversarial network
H Wang, K Li, X Lu, Q Zhang, Y Luo, L Kang - Remote Sensing, 2022 - mdpi.com
Deep learning has been used in inverse synthetic aperture radar (ISAR) imaging to improve
resolution performance, but there still exist some problems: the loss of weak scattering …
resolution performance, but there still exist some problems: the loss of weak scattering …
[HTML][HTML] CARNet: An effective method for SAR image interference suppression
Synthetic aperture radar (SAR) routinely confronts the interference of radiofrequency
devices in normal missions, causing ineffective imaging and seriously affecting Earth …
devices in normal missions, causing ineffective imaging and seriously affecting Earth …
Efficient ADMM framework based on functional measurement model for mmW 3-D SAR imaging
Compressed sensing (CS) shows significant potential in the field of active millimeter-wave
(mmW) synthetic aperture radar (SAR) imaging due to the merits of reducing system …
(mmW) synthetic aperture radar (SAR) imaging due to the merits of reducing system …
SAF-3DNet: Unsupervised AMP-inspired network for 3-D MMW SAR imaging and autofocusing
Z Zhou, S Wei, H Zhang, R Shen… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
The sparse imaging method based on compressed sensing (CS) is widely used in the field
of millimeter-wave (MMW) synthetic aperture radar (SAR) imaging. However, 3-D sparse …
of millimeter-wave (MMW) synthetic aperture radar (SAR) imaging. However, 3-D sparse …
RPCA-AENet: Clutter suppression and simultaneous stationary scene and moving targets imaging in the presence of motion errors
W Pu, Y Bao - IEEE Transactions on Neural Networks and …, 2022 - ieeexplore.ieee.org
Clutter suppression and ground moving target imaging in synthetic aperture radar (SAR)
system have been receiving increasing attention for both civilian and military applications …
system have been receiving increasing attention for both civilian and military applications …