Motion compensation/autofocus in airborne synthetic aperture radar: A review

J Chen, M Xing, H Yu, B Liang, J Peng… - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Air-and spaceborne synthetic aperture radar (SAR) can provide a large number of high-
resolution images for microwave remote sensing applications, such as geoscience and …

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 …

[HTML][HTML] A review of imaging algorithms in multi-platform-borne synthetic aperture radar

X Mengdao, L Hao, C Jianlai, SUN Guangcai… - 雷达学报, 2019 - radars.ac.cn
The multi-platform-borne Synthetic Aperture Radar (SAR) has become one of the most
explored research directions in the domain of SAR. This study discusses the imaging …

[HTML][HTML] 多平台合成孔径雷达成像算法综述

邢孟道, 林浩, 陈溅来, 孙光才, 严棒棒 - 雷达学报, 2019 - radars.ac.cn
多平台合成孔径雷达(SAR) 是合成孔径雷达极具发展潜力的研究方向之一,
该文集中讨论了多平台SAR 的成像算法, 包括机载SAR, 弹载SAR 和星载SAR 平台 …

A novel multireceiver sas rd processor

X Zhang, P Yang, Y Wang, W Shen… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Classic multireceiver synthetic aperture sonar (SAS) reconstruction algorithms relying upon
Loffeld's bistatic formula (LBF) should first utilize the data segmentation approach to remove …

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 …

Video SAR imaging based on low-rank tensor recovery

W Pu, X Wang, J Wu, Y Huang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Due to its ability of forming continuous images for a ground scene of interest, the video
synthetic aperture radar (SAR) has been studied in recent years. However, as video SAR …

Shuffle GAN with autoencoder: A deep learning approach to separate moving and stationary targets in SAR imagery

W Pu - IEEE Transactions on Neural Networks and Learning …, 2021 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) has been widely applied in both civilian and military fields
because it provides high-resolution images of the ground target regardless of weather …

Motion compensation for airborne SAR via parametric sparse representation

YC Chen, G Li, Q Zhang, QJ Zhang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
A method of motion status estimation of airborne synthetic aperture radar (SAR) platform in
short subapertures via parametric sparse representation is proposed for high-resolution …

Microwave photonic SAR high-precision imaging based on optimal subaperture division

Y Hai, Z Li, J Wu, Y Li, Y Xiao, W Li, R Li… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
Microwave photonic synthetic aperture radar (MWP-SAR) offers a larger signal bandwidth
than conventional SAR, and its theoretical resolution can be improved to centimeter level. To …