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 …
Inverse synthetic aperture radar imaging: A historical perspective and state-of-the-art survey
R Vehmas, N Neuberger - IEEE Access, 2021 - ieeexplore.ieee.org
Radar can obtain high spatial resolution at large operating distances, and its operation is
largely independent from weather and lighting conditions. This makes it an important …
largely independent from weather and lighting conditions. This makes it an important …
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 …
Sparse inverse synthetic aperture radar imaging using structured low-rank method
There has been an increasing interest in addressing the issue of high-resolution inverse
synthetic aperture radar (ISAR) imaging from sparse sampling data. Traditional compressed …
synthetic aperture radar (ISAR) imaging from sparse sampling data. Traditional compressed …
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 …
High-resolution ISAR imaging and motion compensation with 2-D joint sparse reconstruction
S Shao, L Zhang, H Liu - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
With regard to the multifunction radar transmitting sparse stepped-frequency-modulation
(SSFM) signal for inverse synthetic aperture radar (ISAR) imaging, the received echo signal …
(SSFM) signal for inverse synthetic aperture radar (ISAR) imaging, the received echo signal …
Cooperative multitask learning for sparsity-driven SAR imagery and nonsystematic error autocalibration
Conventional sparsity-driven synthetic aperture radar (SAR) imagery often encounters the
sensitivity of nonsystematic errors and highly computational load. In this article, a …
sensitivity of nonsystematic errors and highly computational load. In this article, a …
Enhancing ISAR Image Efficiently via Convolutional Reweighted l1 Minimization
S Zhang, Y Liu, X Li, D Hu - IEEE Transactions on Image …, 2021 - ieeexplore.ieee.org
Inverse synthetic aperture radar (ISAR) imaging for the sparse aperture data is affected by
considerable artifacts, because under-sampling of data produces high-level grating and side …
considerable artifacts, because under-sampling of data produces high-level grating and side …
Iterative optimization-based ISAR imaging with sparse aperture and its application in interferometric ISAR imaging
J Rong, Y Wang, T Han - IEEE sensors journal, 2019 - ieeexplore.ieee.org
Recently, high-resolution inverse synthetic aperture radar (ISAR) imaging with sparse
aperture (SA) data has attracted increasing attention. The theory of compressive sensing …
aperture (SA) data has attracted increasing attention. The theory of compressive sensing …