Results 21 to 30 of about 21,138 (215)

Accelerated Sparse Microwave Imaging Phase Error Compensation Algorithm Based on Combination of SAR Raw Data Simulator and Map-drift Autofocus Algorithm

open access: yesLeida xuebao, 2016
Sparse microwave imaging is new concept, theory and methodology of microwave imaging, which introduces the sparse signal processing theory to microwave imaging and combines them together to overcome the paradox of increasing system complexity and imaging
Zhang Zhe   +3 more
doaj   +1 more source

Compressed sensing for wide-field radio interferometric imaging [PDF]

open access: yes, 2010
For the next generation of radio interferometric telescopes it is of paramount importance to incorporate wide field-of-view (WFOV) considerations in interferometric imaging, otherwise the fidelity of reconstructed images will suffer greatly.
Baraniuk   +32 more
core   +1 more source

Multiple feature-enhanced synthetic aperture radar imaging [PDF]

open access: yes, 2009
Non-quadratic regularization based image formation is a recently proposed framework for feature-enhanced radar imaging. Specific image formation techniques in this framework have so far focused on enhancing one type of feature, such as strong point ...
Cetin, Mujdat   +3 more
core   +1 more source

Compressive sensing and sparse antenna arrays for indoor 3-D microwave imaging [PDF]

open access: yes2017 25th European Signal Processing Conference (EUSIPCO), 2017
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Simon Scott, John Wawrzynek
openaire   +2 more sources

HPHR-SAR-Net: Hyperpixel High-Resolution SAR Imaging Network Based on Nonlocal Total Variation

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
High resolution is a key trend in the development of synthetic aperture radar (SAR), which enables the capture of fine details and accurate representation of backscattering properties.
Guoru Zhou   +7 more
doaj   +1 more source

L-Hypersurface Based Parameters Selection in Composite Regularization Models With Application to SAR and TomoSAR Imaging

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Composite regularization models are widely used in sparse signal processing, making multiple regularization parameters selection a significant problem to be solved.
Yizhe Fan   +5 more
doaj   +1 more source

Design of Microwave-based Brain Tumor Detection Framework with the Development of Sparse and Low-Rank Compressive Sensing Image Reconstruction

open access: yesInternational Journal of Technology, 2020
Cancer is one of the leading causes of death, and the brain is one of the body’s cancer-prone organs.  The early detection of brain tumors can reduce cancer risk, which is practically assisted and conducted using scanners such as computed ...
Hermawan Rahman Sholeh   +2 more
doaj   +1 more source

Surface Estimation for Microwave Imaging

open access: yesSensors, 2017
Biomedical imaging and sensing applications in many scenarios demand accurate surface estimation from a sparse set of noisy measurements. These measurements may arise from a variety of sensing modalities, including laser or electromagnetic samples of an ...
Douglas Kurrant   +2 more
doaj   +1 more source

A Microwave Three-Dimensional Imaging Method Based on Optimal Wave Spectrum Reconstruction

open access: yesSensors, 2020
Limited by the Shannon–Nyquist sampling law, the number of antenna elements and echo signal data of the traditional microwave three-dimensional (3D) imaging system are extremely high.
Yan Zhang   +3 more
doaj   +1 more source

Multi-Frequency GPR Microwave Imaging of Sparse Targets through a Multi-Task Bayesian Compressive Sensing Approach

open access: yesJournal of Imaging, 2021
An innovative inverse scattering (IS) method is proposed for the quantitative imaging of pixel-sparse scatterers buried within a lossy half-space. On the one hand, such an approach leverages on the wide-band nature of ground penetrating radar (GPR) data ...
Marco Salucci, Nicola Anselmi
doaj   +1 more source

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