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Multiple feature-enhanced synthetic aperture radar imaging [PDF]
, 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
Learning an SAR Image Despeckling Model Via Weighted Sparse Representation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Synthetic aperture radar (SAR) images are inherently degraded by the speckle noise due to the coherent imaging, which may affect the performance of subsequent image analysis task.
Junchao Zhang +5 more
doaj +1 more source
SAR moving target imaging in a sparsity-driven framework [PDF]
, 2011 In synthetic aperture radar (SAR) imaging, sparsity-driven imaging techniques have been shown to provide high resolution images with reduced sidelobes and reduced speckle, by allowing the incorporation of prior information about the scene into the ...
Cetin, Mujdat +3 more
core +1 more source
A sparsity-driven approach for joint SAR imaging and phase error correction [PDF]
, 2012 Image formation algorithms in a variety of applications have explicit or implicit dependence on a mathematical model of the observation process. Inaccuracies in the observation model may cause various degradations and artifacts in the reconstructed ...
Çetin, Müjdat, Önhon, Özben Naime
core +5 more sources
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
core +2 more sources
SAR 3D sparse imaging based on CLA
The Journal of Engineering, 2019 A novel method for synthetic aperture radar (SAR) three-dimensional (3D) sparse imaging based on a coprime linear array (CLA) is proposed. To reduce the geometric resolution loss caused by under-sampled sparse SAR, a jointed sparse imaging approach is ...
Bokun Tian +4 more
doaj +1 more source
SAR moving target imaging using group sparsity [PDF]
, 2013 SAR imaging of scenes containing moving targets results in defocusing in the reconstructed images if the SAR observation model used in imaging does not take the motion into account.
Çetin, Müjdat, Önhon, Özben Naime
core +1 more source
Sparse representation-based synthetic aperture radar imaging [PDF]
, 2011 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
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
A nonquadratic regularization-based technique for joint SAR imaging and model error correction [PDF]
, 2008 Regularization based image reconstruction algorithms have successfully been applied to the synthetic aperture radar (SAR) imaging problem. Such algorithms assume that the mathematical model of the imaging system is perfectly known.
Cetin, Mujdat +3 more
core +1 more source