Sparse Image Reconstruction using Sparse Priors [PDF]
2006 International Conference on Image Processing, 2006 Sparse image reconstruction is of interest in the fields of radioastronomy and molecular imaging. The observation is assumed to be a linear transformation of the image, and corrupted by additive white Gaussian noise. We study the usage of sparse priors in the empirical Bayes framework: it permits the selection of the hyperparameters of the prior in a ...
Michael Ting +2 more
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Cognitive Sparse Imaging Method for MIMO Radar under Wideband Interference
Remote Sensing, 2022 Target three-dimensional (3D) high-resolution imaging via multiple-input multiple-output (MIMO) radar may suffer from a heavy sampling burden and complicated radio frequency interferences.
Weike Feng +4 more
doaj +1 more source
FMCW SAR Sparse Imaging Based on Approximated Observation: An Overview on Current Technologies
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Sparsity-driven synthetic aperture radar (SAR) imaging technique for frequency modulation continuous wave (FMCW) has already shown the superiority in terms of performance improvement in imaging and recovery from down-sampled data.
Hui Bi +5 more
doaj +1 more source
The sparse array elements selection in sparse imaging of circular-array photoacoustic tomography
Journal of Innovative Optical Health Sciences, 2022 Photoacoustic imaging (PAI) has been developed, and photoacoustic computed tomography (PACT) is widely used for in vivo tissue and mouse imaging. Simulated annealing (SA) algorithm solves optimization problems, and compressed sensing (CS) recovers sparse
Zezheng Qin +4 more
doaj +1 more source
Laser Application and Sparse Imaging Analysis of Diffractive Optical System
Leida xuebao, 2020 In recent years, the diffractive optical systems have developed rapidly. Diffractive devices such as binary optical device and membrane-based lens are equivalent to fixed phase shifters of microwave antennas.
LI Daojing +6 more
doaj +1 more source
Sparse image representation with epitomes [PDF]
CVPR 2011, 2011 Computer Vision and Pattern Recognition, Colorado Springs : United States (2011)
Benoît, Louise +3 more
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Sparse Fusion Imaging for a Moving Target in T/R-R Configuration
Sensors, 2014 For high resolution imaging of a non-cooperative moving target, this paper proposes a sparse fusion imaging method. The imaging system contains two radar stations, which are separated by a certain bistatic angle and configured in a transmitter/receiver ...
Shougang Chai, Weidong Chen, Chang Chen
doaj +1 more source
ISAR Imaging Algorithm Based on Iterative Weighted L2/L1 Norm Block Sparse Signal Recovery [PDF]
Jisuanji gongcheng, 2018 In order to realize fast and high resolution Inverse Synthetic Aperture Radar(ISAR)imaging,an iterative weighted L2/L1 norm block sparse recovery algorithm for ISAR imaging is proposed based on the target’s intrinsic block sparse structure information ...
FENG Junjie,ZHANG Gong
doaj +1 more source
Sparse signal representation for complex-valued imaging [PDF]
, 2009 We propose a sparse signal representation-based method for complex-valued imaging. Many coherent imaging systems such as synthetic aperture radar (SAR) have an inherent random phase, complex-valued nature.
Cetin, Mujdat +3 more
core +1 more source
Verification of Complex Image Based Sparse SAR Imaging Method on GaoFen-3 Dataset
Leida xuebao, 2020 Sparse signal processing-based Synthetic Aperture Radar (SAR) imaging, also known as sparse SAR imaging, is the main research direction of sparse microwave imaging theory.
BI Hui +3 more
doaj +1 more source