Collaborative compressive radar imaging with saliency priors
Although several works have been done on high-resolution inverse synthetic aperture radar
(ISAR) imaging via compressive sampling technology, they only explore sparse priors of …
(ISAR) imaging via compressive sampling technology, they only explore sparse priors of …
Near range radar imaging based on block sparsity and cross-correlation fusion algorithm
In this paper, we propose a novel processing model for compressive sensing (CS)-based
stepped-frequency continuous-wave (SFCW) radar near range imaging, which takes the …
stepped-frequency continuous-wave (SFCW) radar near range imaging, which takes the …
Resolution enhancement for inversed synthetic aperture radar imaging under low SNR via improved compressive sensing
The theory of compressed sampling (CS) indicates that exact recovery of an unknown
sparse signal can be achieved from very limited samples. For inversed synthetic aperture …
sparse signal can be achieved from very limited samples. For inversed synthetic aperture …
Improved Bayesian ISAR imaging by learning the local structures of the target scene
L Sun, W Chen - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
In inverse synthetic aperture radar (ISAR) imaging, some weak scatterers might be missing
in the results obtained by conventional compressive sensing (CS)-based methods. This …
in the results obtained by conventional compressive sensing (CS)-based methods. This …
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 …
Enhancing forward-looking image resolution: Combining low-rank and sparsity priors
J Tang, Z Liu, L Ran, R Xie, J Qin - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Compressed sensing (CS)-based imaging technology has attracted a lot of interest because
it can enhance imaging resolution. Targets of interest for forward-looking imaging radar are …
it can enhance imaging resolution. Targets of interest for forward-looking imaging radar are …
Low-Rank and Norm Regularization Method for Imaging from Coated Scatterers
YM Wu, R Fang, F Xu, WTO Yang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the development of radar system, there are high demands to perform inverse synthetic
aperture radar (ISAR) imaging from sparse frequency bands and sparse aperture data. The …
aperture radar (ISAR) imaging from sparse frequency bands and sparse aperture data. The …
Compressive SAR imaging with joint sparsity and local similarity exploitation
Compressive sensing-based synthetic aperture radar (SAR) imaging has shown its superior
capability in high-resolution image formation. However, most of those works focus on the …
capability in high-resolution image formation. However, most of those works focus on the …
Inverse synthetic aperture radar imaging exploiting dictionary learning
We consider the Inverse synthetic aperture radar (ISAR) imaging with under-sampled data in
the framework of compressive sensing (CS) theory. In the existing studies of CS based ISAR …
the framework of compressive sensing (CS) theory. In the existing studies of CS based ISAR …
Compressive sensing-based ISAR imaging via the combination of the sparsity and nonlocal total variation
X Zhang, T Bai, H Meng, J Chen - IEEE Geoscience and remote …, 2013 - ieeexplore.ieee.org
The sparsity of targets intrinsically paves a new way to apply compressive sensing (CS) to
inverse SAR (ISAR) imaging. However, in the CS-based ISAR imaging system, the ISAR …
inverse SAR (ISAR) imaging. However, in the CS-based ISAR imaging system, the ISAR …