Results 21 to 30 of about 2,588 (207)
HPHR-SAR-Net: Hyperpixel High-Resolution SAR Imaging Network Based on Nonlocal Total Variation
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
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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
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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
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Surface Estimation for Microwave Imaging
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
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A Microwave Three-Dimensional Imaging Method Based on Optimal Wave Spectrum Reconstruction
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
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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
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Origami is the art of paper folding that allows a single flat piece of paper to assume different 3D shapes depending on the fold patterns and the sequence of folding.
Suresh Venkatesh +4 more
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A sparse coding approach to inverse problems with application to microwave tomography
IAR 60th Anniversary: Prospects for Low Frequency Radio Astronomy in South ...
Caiafa, César Federico +1 more
openaire +3 more sources
Compressive Sensing Radar Imaging With Convolutional Neural Networks
In the area of radar imaging at any frequency band from microwave to optics, the technique of compressive sensing (CS) enables high resolution with reduced number of antenna elements and measurements.
Qiao Cheng +3 more
doaj +1 more source
A new method of creating microwave imagery by capturing the signals emitted by a small set of wireless WiFi transmitters is presented. The imaging technique leverages the fact that the signals emitted by separate WiFi transmitters are sufficiently ...
Stavros Vakalis +2 more
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