Articles with "sparse imaging" as a keyword



A nonconvex penalization algorithm with automatic choice of the regularization parameter in sparse imaging

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Published in 2019 at "Inverse Problems"

DOI: 10.1088/1361-6420/ab1c6b

Abstract: This paper introduces an efficient method for solving nonconvex penalized minimization problems. The topic is relevant in many imaging problems characterized by sparse data. The proposed method originates from the iterative reweighting l 1 scheme,… read more here.

Keywords: parameter; regularization parameter; method; sparse imaging ... See more keywords

Sparse Imaging-Based Clutter Suppression and Refocusing of MTs in Passive Bistatic SAR

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2965594

Abstract: A sparse-imaging-based methodology for the clutter suppression and refocusing of multiple slow-moving targets (MT) in passive bistatic synthetic aperture radar (SAR) is proposed in this paper. The defocused regions of MTs in the bistatic imagery… read more here.

Keywords: methodology; sparse imaging; imaging based; clutter ... See more keywords

FMCW SAR Sparse Imaging Based on Approximated Observation: An Overview on Current Technologies

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Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2020.3017487

Abstract: 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. However, restricted by the computational… read more here.

Keywords: sparse; sparse imaging; sar sparse; inline formula ... See more keywords

Frequency-Scaling-Based Spaceborne Squint SAR Sparse Imaging

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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3204539

Abstract: In synthetic aperture radar (SAR), due to the characteristics of squint data in spaceborne imaging geometry, a more accurate range cell migration correction operation is necessary. Furthermore, imaging degradation due to ignoring range-variant filtering needed… read more here.

Keywords: squint; spaceborne squint; squint sar; sar sparse ... See more keywords

A Sparse Imaging Method for Frequency Agile SAR

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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3151079

Abstract: Frequency agility increases the difficulty of jammers to predict and estimate the carrier frequency and, thus, improves the radar electronic counter-countermeasures (ECCM) performance. In this article, frequency agility is introduced into synthetic aperture radar (SAR).… read more here.

Keywords: performance; imaging method; frequency; frequency agile ... See more keywords

Array SAR 3-D Sparse Imaging Based on Regularization by Denoising Under Few Observed Data

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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3406711

Abstract: Array synthetic aperture radar (SAR) 3-D imaging can obtain 3-D information of the target region, which is widely used in environmental monitoring and scattering information measurement. In recent years, with the development of compressed sensing… read more here.

Keywords: sar; sparse imaging; array; array sar ... See more keywords

Joint Generalized Lq and Convolutional Regularization: Enhancing mmW Automotive SAR Sparse Imaging

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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3492070

Abstract: Millimeter-wave (mmW) automotive synthetic aperture radar (Auto-SAR) technology holds significant promise for advanced driver assistance systems (ADASs). Sparse imaging methods can improve the quality of Auto-SAR images, such as suppressing sidelobes and noise. However, the… read more here.

Keywords: auto sar; joint generalized; sar; sparse imaging ... See more keywords

A Generalized Lq Regularization With Azimuth-Phase-Compensation Method for mmW Automotive SAR Sparse Imaging

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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3604142

Abstract: Millimeter-wave automotive synthetic aperture radar (Auto-SAR) holds significant promise for autonomous vehicle systems. Sparse imaging methods have the potential to enhance the quality of Auto-SAR images, such as suppressing sidelobes and noise. However, sparse imaging… read more here.

Keywords: method; sar sparse; sar; sparse imaging ... See more keywords