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 …
A novel deep structure U-Net for sea-land segmentation in remote sensing images
Sea-land segmentation is an important process for many key applications in remote sensing.
Proper operative sea-land segmentation for remote sensing images remains a challenging …
Proper operative sea-land segmentation for remote sensing images remains a challenging …
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 …
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 …
Tomographic field free line magnetic particle imaging with an open-sided scanner configuration
Superparamagnetic iron oxide nanoparticles (SPIONs) have a high potential for use in
clinical diagnostic and therapeutic applications. In vivo distribution of SPIONs can be …
clinical diagnostic and therapeutic applications. In vivo distribution of SPIONs can be …
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 …
Plug-and-play synthetic aperture radar image formation using deep priors
The reconstruction of synthetic aperture radar (SAR) images from phase history data is an ill-
posed inverse problem which, in several lines of recent work, is solved by minimizing a cost …
posed inverse problem which, in several lines of recent work, is solved by minimizing a cost …
From theory to application: Real-time sparse SAR imaging
In recent years, the sparse signal processing technique has shown significant potential in
synthetic aperture radar (SAR) imaging, such as image performance improvement and …
synthetic aperture radar (SAR) imaging, such as image performance improvement and …
Computationally efficient sparse aperture ISAR autofocusing and imaging based on fast ADMM
S Zhang, Y Liu, X Li - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
In the case of sparse aperture, the coherence between pulses of radar echo is destroyed,
which challenges inverse synthetic aperture radar (ISAR) autofocusing and imaging …
which challenges inverse synthetic aperture radar (ISAR) autofocusing and imaging …
The acoustic inverse problem in the framework of alternating direction method of multipliers
Acoustic imaging is an important technique for sound source identification which is widely
used in noise control and fault detection. It can be described as a method for reconstructing …
used in noise control and fault detection. It can be described as a method for reconstructing …