CRTransSar: A visual transformer based on contextual joint representation learning for SAR ship detection

R Xia, J Chen, Z Huang, H Wan, B Wu, L Sun, B Yao… - Remote Sensing, 2022 - mdpi.com
Synthetic-aperture radar (SAR) image target detection is widely used in military, civilian and
other fields. However, existing detection methods have low accuracy due to the limitations …

SAR image reconstruction via incremental imaging with compressive sensing

MS Kang, JM Baek - IEEE Transactions on Aerospace and …, 2023 - ieeexplore.ieee.org
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 …

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 …

Sar image change detection via multiple-window processing with structural similarity

M Kang, J Baek - Sensors, 2021 - mdpi.com
In this paper, a synthetic aperture radar (SAR) change detection approach is proposed
based on a structural similarity index measure (SSIM) and multiple-window processing …

[HTML][HTML] Displacement prediction for long-span bridges via limited remote sensing images: An adaptive ensemble regression method

A Entezami, B Behkamal, C De Michele, S Mariani - Measurement, 2025 - Elsevier
Spaceborne remote sensing via synthetic aperture radar (SAR) images offers promising
solutions to long-term structural health monitoring by providing local displacement time …

Automatic SAR image registration via Tsallis entropy and iterative search process

MS Kang, KT Kim - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) image registration is a process of geometrically aligning two
or more remote sensing images, acquired at different times, from different viewpoints or from …

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 …

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 …

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 …

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) …