Results 51 to 60 of about 302,463 (187)
Multiple feature-enhanced SAR imaging using sparsity in combined dictionaries [PDF]
, 2012 Nonquadratic 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
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Feature Understanding and Target Detection for Sparse Microwave Synthetic Aperture Radar Images
Leida xuebao, 2016 Sparse microwave imaging using sparse priors of observed scenes in space, time, frequency, or polarization domain and echo data with sampling rate smaller than the traditional Nyquist rate as well as optimization algorithms for reconstructing the ...
Zhang Zenghui, Yu Wenxian
doaj +1 more source
Remote Sensing, 2021 Distributed radar array brings several new forthcoming advantages in aerospace target detection and imaging. The two-dimensional distributed array avoids the imperfect motion compensation in coherent processing along slow time and can achieve single ...
Yimeng Zou +3 more
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Iterative CT reconstruction using shearlet-based regularization [PDF]
, 2012 In computerized tomography, it is important to reduce the image noise without increasing the acquisition dose. Extensive research has been done into total variation minimization for image denoising and sparse-view reconstruction. However, TV minimization
Goossens, Bart +6 more
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Sparse Representation For Image Prediction
, 2007 Publication in the conference proceedings of EUSIPCO, Poznan, Poland ...
Martin, Aurélie +3 more
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Sparse representation-based SAR imaging [PDF]
, 2009 There is increasing interest in using synthetic aperture radar (SAR) images in automated target recognition and decision-making tasks. The success of such tasks depends on how well the reconstructed SAR images exhibit certain features of the underlying ...
Cetin, Mujdat +3 more
core +1 more source
Compressive Spectral Imaging with Diffractive Lenses
, 2019 Compressive spectral imaging enables to reconstruct the entire three-dimensional (3D) spectral cube from a few multiplexed images. Here, we develop a novel compressive spectral imaging technique using diffractive lenses.
Kar, Oğuzhan Fatih, Oktem, Figen S.
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Sparse image approximation [PDF]
, 2017 This thesis addresses the problem associated with the approximation of signals as linear superposition of elementary components often called 'atoms'. `After highlighting the limitations of using only orthogonal elements, approximation technique is extended to consider the selection of atoms from a large redundant set, called a `dictionary'.
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Sparsity-driven sparse-aperture ultrasound imaging [PDF]
, 2006 We propose an image formation algorithm for ultrasound imaging based on sparsity-driven regularization functionals. We consider data collected by synthetic transducer arrays, with the primary motivating application being nondestructive evaluation.
Cetin, Mujdat, Çetin, Müjdat
core
Sparse Active Rectangular Array with Few Closely Spaced Elements
, 2018 Sparse sensor arrays offer a cost effective alternative to uniform arrays. By utilizing the co-array, a sparse array can match the performance of a filled array, despite having significantly fewer sensors.
Koivunen, Visa, Rajamäki, Robin
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