Omega-KA-Net: A SAR ground moving target imaging network based on trainable Omega-K algorithm and sparse optimization
H Zhang, J Ni, S Xiong, Y Luo, Q Zhang - Remote Sensing, 2022 - mdpi.com
The ground moving target (GMT) is defocused due to unknown motion parameters in
synthetic aperture radar (SAR) imaging. Although the conventional Omega-K algorithm …
synthetic aperture radar (SAR) imaging. Although the conventional Omega-K algorithm …
Sparse SAR imaging method for ground moving target via GMTSI-Net
L Chen, J Ni, Y Luo, Q He, X Lu - Remote Sensing, 2022 - mdpi.com
Ground moving targets (GMT), due to the existence of velocity in range and azimuth
direction, will lead to the deviation from their true position and defocus in the azimuth …
direction, will lead to the deviation from their true position and defocus in the azimuth …
PnP-Based ground moving target imaging network for squint SAR and sparse sampling
H Zhang, J Ni, C Zhang, Y Luo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a result of residual phase error caused by motion parameters, ground moving targets
(GMTs) are defocused and displaced in conventional synthetic aperture radar (SAR) …
(GMTs) are defocused and displaced in conventional synthetic aperture radar (SAR) …
DNN with similarity constraint for GEO SA-BSAR moving target imaging
A GEOsynchronous Spaceborne-Airborne Bistatic Synthetic Aperture Radar (GEO SA-
BSAR) system has been proven to be a significant tool for moving targets monitoring. Due to …
BSAR) system has been proven to be a significant tool for moving targets monitoring. Due to …
Moving targets detection for video SAR surveillance using multilevel attention network based on shallow feature module
H Yan, X Xu, G Jin, Q Hou, Z Geng… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
In this article, a novel method for the moving target detection through multilevel spatial and
channelwise attention network based on shallow feature channel module (MSCA-SFCM) is …
channelwise attention network based on shallow feature channel module (MSCA-SFCM) is …
End-to-end SAR deep learning imaging method based on sparse optimization
S Zhao, J Ni, J Liang, S Xiong, Y Luo - Remote Sensing, 2021 - mdpi.com
Synthetic aperture radar (SAR) imaging has developed rapidly in recent years. Although the
traditional sparse optimization imaging algorithm has achieved effective results, its …
traditional sparse optimization imaging algorithm has achieved effective results, its …
Ground moving target imaging based on compressive sensing framework with single-channel SAR
MS Kang, KT Kim - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Ground moving target imaging (GMTIm) is considered one of the most important applications
of synthetic aperture radar (SAR). Phase modulation from a moving target's higher-order …
of synthetic aperture radar (SAR). Phase modulation from a moving target's higher-order …
Pseudo-L 0-Norm Fast Iterative Shrinkage Algorithm Network: Agile Synthetic Aperture Radar Imaging via Deep Unfolding Network
W Chen, J Geng, F Meng, L Zhang - Remote Sensing, 2024 - mdpi.com
A novel compressive sensing (CS) synthetic-aperture radar (SAR) called AgileSAR has
been proposed to increase swath width for sparse scenes while preserving azimuthal …
been proposed to increase swath width for sparse scenes while preserving azimuthal …
Ground moving target imaging for highly squint SAR by modified minimum entropy algorithm and spectrum rotation
S Xiong, J Ni, Q Zhang, Y Luo, L Yu - Remote Sensing, 2021 - mdpi.com
Ground moving target (GMT) is displaced and defocused in conventional synthetic aperture
radar (SAR) image due to the residual phase error of non-cooperative GMT motion. In this …
radar (SAR) image due to the residual phase error of non-cooperative GMT motion. In this …
Target-oriented SAR imaging for SCR improvement via deep MF-ADMM-Net
M Li, J Wu, W Huo, R Jiang, Z Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) is an important means for target surveillance through
reconstructing the microwave image of the observation area. However, under the condition …
reconstructing the microwave image of the observation area. However, under the condition …