Results 1 to 10 of about 15,887 (242)
Comparison of Raw Data-Based and Complex Image-Based Sparse SAR Imaging Methods [PDF]
Sensors, 2019 Sparse signal processing has already been introduced to synthetic aperture radar (SAR), which shows potential in improving imaging performance based on raw data or a complex image.
Zhilin Xu +4 more
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DeepRED Based Sparse SAR Imaging
Remote Sensing, 2023 The integration of deep neural networks into sparse synthetic aperture radar (SAR) imaging is explored to enhance SAR imaging performance and reduce the system’s sampling rate. However, the scarcity of training samples and mismatches between the training
Yao Zhao +4 more
doaj +2 more sources
Efficient Parameter Estimation for Sparse SAR Imaging Based on Complex Image and Azimuth-Range Decouple [PDF]
Sensors, 2019 Sparse signal processing theory has been applied to synthetic aperture radar (SAR) imaging. In compressive sensing (CS), the sparsity is usually considered as a known parameter. However, it is unknown practically.
Mingqian Liu +3 more
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Spaceborne Sparse SAR Imaging Mode Design: From Theory to Implementation [PDF]
SensorsTo satisfy the requirement of the modern spaceborne synthetic aperture radar (SAR) system, SAR imaging mode design makes a trade-off between resolution and swath coverage by controlling radar antenna sweeping.
Yufan Song +5 more
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SAR 3D sparse imaging based on CLA [PDF]
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
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Frequency-Scaling-Based Spaceborne Squint SAR Sparse Imaging
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 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.
Yufan Song +4 more
doaj +2 more sources
An augmented lagrangian method for sparse SAR imaging [PDF]
, 2014 In this paper, we present a solution to the constrained l1-norm minimization problem for sparse SAR imaging. The technique we present relies on recent advances in the solution of optimization problems, based on Augmented Lagrangian Methods (ALMs), namely
Cetin, Mujdat +3 more
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Multi-Channel Synthetic Aperture Radar Imaging of Ground Moving Targets Using Compressive Sensing
IEEE Access, 2018 Integrated with the array technique, multi-channel processing can be applied to synthetic aperture radar of ground moving target imaging (SAR GMTIm), which is very powerful in remote sensing of smart city. To reduce the data sampling amounts, compressive
Gang Xu, Yanyang Liu, Mengdao Xing
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End-to-End SAR Deep Learning Imaging Method Based on Sparse Optimization
Remote Sensing, 2021 Synthetic aperture radar (SAR) imaging has developed rapidly in recent years. Although the traditional sparse optimization imaging algorithm has achieved effective results, its shortcomings are slow imaging speed, large number of parameters, and high ...
Siyuan Zhao +4 more
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3D SAR Imaging Method Based on Learned Sparse Prior
Leida xuebao, 2023 The development of 3D Synthetic Aperture Radar (SAR) imaging is currently hampered by issues such as high data dimension, high system complexity, and low imaging processing efficiency.
Mou WANG +5 more
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