High quality imaging from sparsely sampled computed tomography data with deep learning and wavelet transform in various domains
Sign Up to like & getrecommendations! Published in 2019 at "Medical Physics"
DOI: 10.1002/mp.13258
Abstract: PURPOSE Sparsely sampled computed tomography (CT) has been attracting attention as a technique that can reduce the high radiation dose of conventional CT. In general, iterative reconstruction techniques have been applied to sparsely sampled CT… read more here.
Keywords: reconstruction; quality; sparsely sampled; deep learning ... See more keywords
Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2902859
Abstract: The primary challenge of a cost-effective and low-complexity near-field millimeter-wave (mmWave) imaging system is to achieve high resolution with a few antenna elements as possible. Multiple-input multiple-output (MIMO) radar using simultaneous operation of spatially diverse… read more here.
Keywords: aperture; mimo; near field; mimo sar ... See more keywords
Reconstruction of Sparsely Sampled Seismic Data via Residual U-Net
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3035835
Abstract: Reconstruction of sparsely sampled seismic data is critical for maintaining the quality of seismic images when significant numbers of shots and receivers are missing. We present a reconstruction method in the shot-receiver-time (SRT) domain based… read more here.
Keywords: residual net; seismic data; reconstruction sparsely; sparsely sampled ... See more keywords
Uncertainty Characterization Methods for Sparsely Sampled Quantity: A Tradeoff Analysis Considering Propagation
Sign Up to like & getrecommendations! Published in 2020 at "AIAA Journal"
DOI: 10.2514/1.j058449
Abstract: The reliable characterization of uncertainties is critical for system evaluations and safety designs. However, insufficient samples are frequently encountered especially in composite materials. Fou... read more here.
Keywords: uncertainty characterization; sparsely sampled; methods sparsely; sampled quantity ... See more keywords
Sparsely Sampled Wideband Radar Holographic Imaging for Detection of Concealed Objects
Sign Up to like & getrecommendations! Published in 2017 at "Progress in Electromagnetics Research B"
DOI: 10.2528/pierb16091908
Abstract: Radar holography has been established as an effective image reconstruction process by which the measured diffraction pattern across an aperture provides information about a threedimensional target scene of interest. In general, the sampling and reconstruction… read more here.
Keywords: detection; radar holographic; sparsely sampled; concealed objects ... See more keywords