SAF-3DNet: Unsupervised AMP-inspired network for 3-D MMW SAR imaging and autofocusing
Z Zhou, S Wei, H Zhang, R Shen… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
The sparse imaging method based on compressed sensing (CS) is widely used in the field
of millimeter-wave (MMW) synthetic aperture radar (SAR) imaging. However, 3-D sparse …
of millimeter-wave (MMW) synthetic aperture radar (SAR) imaging. However, 3-D sparse …
Learning-based split unfolding framework for 3-D mmW radar sparse imaging
The application of the compressed sensing (CS) method in the radar field enables the radar
imaging system to satisfy both low data cost and high reconstruction quality; however, it is …
imaging system to satisfy both low data cost and high reconstruction quality; however, it is …
3-d sar autofocusing with learned sparsity
Inevitable inaccuracies of 3-D synthetic aperture radar (3-D SAR) imaging geometry may
cause undesired blurs in reconstructed images. Recent advances show impressive results …
cause undesired blurs in reconstructed images. Recent advances show impressive results …
AF-AMPNet: A deep learning approach for sparse aperture ISAR imaging and autofocusing
Inverse synthetic aperture radar (ISAR) imaging and autofocusing are challenging under
sparse aperture (SA) conditions. Traditional imaging or autofocusing methods fail to obtain …
sparse aperture (SA) conditions. Traditional imaging or autofocusing methods fail to obtain …
Deep learning approach for sparse aperture ISAR imaging and autofocusing based on complex-valued ADMM-Net
R Li, S Zhang, C Zhang, Y Liu, X Li - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Sparse aperture radar imaging is generally achieved by methods of compressive sensing
(CS), or, sparse signal recovery (SSR). However, most of the traditional SSR methods …
(CS), or, sparse signal recovery (SSR). However, most of the traditional SSR methods …
TPSSI-Net: Fast and enhanced two-path iterative network for 3D SAR sparse imaging
The emerging field of combining compressed sensing (CS) and three-dimensional synthetic
aperture radar (3D SAR) imaging has shown significant potential to reduce sampling rate …
aperture radar (3D SAR) imaging has shown significant potential to reduce sampling rate …
Efficient ADMM framework based on functional measurement model for mmW 3-D SAR imaging
Compressed sensing (CS) shows significant potential in the field of active millimeter-wave
(mmW) synthetic aperture radar (SAR) imaging due to the merits of reducing system …
(mmW) synthetic aperture radar (SAR) imaging due to the merits of reducing system …
STLS-LADMM-Net: A deep network for SAR autofocus imaging
M Li, J Wu, W Huo, Z Li, J Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) can provide high-resolution electromagnetic backscattering
images of the illuminated area, playing a significant role in various applications. However …
images of the illuminated area, playing a significant role in various applications. However …
A computational efficient 2-D block-sparse ISAR imaging method based on PCSBL-GAMP-Net
R Li, S Zhang, C Zhang, Y Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Sparse aperture inverse synthesis aperture radar (SA-ISAR) imaging is generally solved by
compressed sensing (CS) methods or sparse signal recovery (SSR). Many SSR methods …
compressed sensing (CS) methods or sparse signal recovery (SSR). Many SSR methods …
Nonsparse SAR scene imaging network based on sparse representation and approximate observations
H Zhang, J Ni, K Li, Y Luo, Q Zhang - Remote Sensing, 2023 - mdpi.com
Sparse-representation-based synthetic aperture radar (SAR) imaging technology has shown
superior potential in the reconstruction of nonsparse scenes. However, many existing …
superior potential in the reconstruction of nonsparse scenes. However, many existing …