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 …
The race to improve radar imagery: An overview of recent progress in statistical sparsity-based techniques
The exploitation of sparsity has significantly advanced the field of radar imaging over the last
few decades, leading to substantial improvements in the resolution and quality of the …
few decades, leading to substantial improvements in the resolution and quality of the …
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 …
Sparse logistic regression based one-bit sar imaging
S Ge, D Feng, S Song, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
One-bit synthetic aperture radar (SAR) imaging has garnered significant interest due to its
ability to lower the cost of storing enormous amounts of data during sampling and …
ability to lower the cost of storing enormous amounts of data during sampling and …
[HTML][HTML] 基于压缩感知理论的雷达成像技术与应用研究进展
李少东， 杨军， 陈文峰， 马晓岩 - 电子与信息学报, 2016 - jeit.ac.cn
压缩感知理论基于信号稀疏性, 将对信号采样转换为对信息自由度的采样, 可大大降低采样率.
而将压缩感知理论应用于雷达成像时有望在以下几个方面得到改善: 增强成像性能 …
而将压缩感知理论应用于雷达成像时有望在以下几个方面得到改善: 增强成像性能 …
An autofocus technique for high-resolution inverse synthetic aperture radar imagery
For inverse synthetic aperture radar imagery, the inherent sparsity of the scatterers in the
range-Doppler domain has been exploited to achieve a high-resolution range profile or …
range-Doppler domain has been exploited to achieve a high-resolution range profile or …
Jointly using low-rank and sparsity priors for sparse inverse synthetic aperture radar imaging
W Qiu, J Zhou, Q Fu - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
The inverse synthetic aperture radar (ISAR) imaging technique of a moving target with
sparse sampling data has attracted wide attention due to its ability to reduce the data …
sparse sampling data has attracted wide attention due to its ability to reduce the data …
SAR ground moving target imaging algorithm based on parametric and dynamic sparse Bayesian learning
In this paper, a novel synthetic aperture radar (SAR) ground moving target imaging (GMTIm)
algorithm is presented within a parametric and dynamic sparse Bayesian learning (SBL) …
algorithm is presented within a parametric and dynamic sparse Bayesian learning (SBL) …
Super-resolution ISAR imaging for maneuvering target based on deep-learning-assisted time–frequency analysis
Traditional range-instantaneous Doppler (RID) methods for maneuvering target imaging
suffer from the problems of low resolution and poor noise suppression. We propose a new …
suffer from the problems of low resolution and poor noise suppression. We propose a new …
Pattern-coupled sparse Bayesian learning for inverse synthetic aperture radar imaging
We propose a pattern-coupled sparse Bayesian learning method for inverse synthetic
aperture radar (ISAR) imaging by exploiting a block-sparse structure inherent in ISAR target …
aperture radar (ISAR) imaging by exploiting a block-sparse structure inherent in ISAR target …