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 …
synthetic aperture radar (SAR) imaging problem to reduce the sampling amount of SAR …
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 …
A novel CFFBP algorithm with noninterpolation image merging for bistatic forward-looking SAR focusing
Fast factorized back-projection (FFBP) has significant advantages for bistatic forward-
looking synthetic aperture radar (BFSAR) imaging with arbitrary geometry and complex …
looking synthetic aperture radar (BFSAR) imaging with arbitrary geometry and complex …
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 …
Segmental aperture imaging algorithm for multirotor UAV-borne MiniSAR
This article takes on the challenges of synthetic aperture radar (SAR) imaging for
miniaturized SAR (MiniSAR) onboard a multirotor unmanned aerial vehicle (UAV). Several …
miniaturized SAR (MiniSAR) onboard a multirotor unmanned aerial vehicle (UAV). Several …
[HTML][HTML] 基于分层贝叶斯Lasso 的稀疏ISAR 成像算法
杨磊， 夏亚波， 毛欣瑶， 廖仙华， 方澄， 高洁 - 电子与信息学报, 2021 - jeit.ac.cn
逆合成孔径雷达(ISAR) 目标回波具有明显的稀疏特征, 传统的凸优化稀疏ISAR
成像算法涉及繁琐的正则项系数调整, 严重限制了超分辨成像的精度及便捷程度. 针对此问题 …
成像算法涉及繁琐的正则项系数调整, 严重限制了超分辨成像的精度及便捷程度. 针对此问题 …
Improved Parametric Polar Format Algorithm for High-Squint and Wide-Beam SAR Imaging
Z Meng, L Zhang, G Wang, J Lu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
High-squint and wide-beam synthetic aperture radar (SAR) imaging is challenging for
current popular SAR imaging algorithms, because the severe spatial-variant motion error …
current popular SAR imaging algorithms, because the severe spatial-variant motion error …
Efficient fast time-domain processing framework for airborne bistatic SAR continuous imaging integrated with data-driven motion compensation
Fast factorized back-projection (FFBP) is a classic fast time-domain algorithm (FTDA), which
is not limited by the assumption of azimuth-invariant of echo signal and is suitable for the …
is not limited by the assumption of azimuth-invariant of echo signal and is suitable for the …
Integrated detection and Imaging algorithm for radar sparse targets via CFAR-ADMM
Most research on sparsity-driven synthetic aperture radar (SAR) imaging has been carried
out in-norm regularization and considers that the SAR image contains only targets and …
out in-norm regularization and considers that the SAR image contains only targets and …
A Robust Complex-Valued Deep Neural Network for Target Recognition of UAV SAR Imagery
C Fang, Y Song, F Guan, F Liang… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) plays an important role in
modern remote sensing for its characteristics of all weather, all day-and-night, zero casualty …
modern remote sensing for its characteristics of all weather, all day-and-night, zero casualty …