Results 21 to 30 of about 15,887 (242)
Complex-Image-Based Sparse SAR Imaging and its Equivalence
IEEE Transactions on Geoscience and Remote Sensing, 2018 Using sparse signal processing to replace matched filtering (MF) in synthetic aperture radar (SAR) imaging has shown significant potential to improve image quality. Due to the huge computational cost needed, it is difficult to apply conventional observation-matrix-based sparse SAR imaging method for large-scene reconstruction.
Hui Bi +3 more
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Tomographic SAR Imaging Method Based on Sparse and Low-rank Structures
Leida xuebao, 2022 This paper proposes a three-dimensional tomographic SAR imaging method based on a combined sparse and low-rank structures. The traditional Compressed Sensing (CS) based tomographic SAR imaging methods only utilize the sparse representation and ...
Yao ZHAO +4 more
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Sparsity-driven image formation and space-variant focusing for SAR [PDF]
, 2011 In synthetic aperture radar (SAR) imaging, the presence of moving targets in the scene causes phase errors in the SAR data and subsequently defocusing in the formed image. The defocusing caused by the moving targets exhibits space-variant characteristics,
Çetin, Müjdat, Önhon, Özben Naime
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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
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SAR Imaging With Structural Sparse Representation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015 Sparse representation (SR)-based SAR imaging approaches have shown their superior performance compared with conventional approaches. However, for an image with rich spatial structures, a fixed global dictionary is usually ineffective to characterize the local structures.
Fangfang Shen +4 more
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Compressed sensing of monostatic and multistatic SAR [PDF]
, 2009 In this paper we study the impact of sparse aperture data collection of a SAR sensor on reconstruction quality of a scene of interest. Different mono and multi-static SAR measurement configurations produce different Fourier sampling patterns.
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
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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
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SAR imaging via efficient implementations of sparse ML approaches [PDF]
Signal Processing, 2014 High-resolution spectral estimation techniques are of notable interest for synthetic aperture radar (SAR) imaging. Several sparse estimation techniques have been shown to provide significant performance gains as compared to conventional approaches. We consider efficient implementation of the recent iterative sparse maximum likelihood-based approaches ...
Glentis, George-Othan +4 more
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Complex-Valued Sparse SAR-Image-Based Target Detection and Classification
Remote Sensing, 2022 It is known that synthetic aperture radar (SAR) images obtained by typical matched filtering (MF)-based algorithms always suffer from serious noise, sidelobes and clutter. However, the improvement in image quality means that the complexity of SAR systems
Chen Song +5 more
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