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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Forward-Looking MIMO-SAR for Enhanced Radar Imaging in Autonomous Mobile Robots
IEEE Access, 2023 Synthetic aperture radar (SAR) techniques are commonly used in spaceborne and airborne side-looking radar imaging applications, where the relatively high platform speeds enable the formation of very long synthetic apertures, which provide images with ...
Adnan Albaba +4 more
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SAR Ground Moving Target Imaging based on Sparse Representation [PDF]
فصلنامه علوم و فناوری فضایی, 2021 synthetic aperture radar (SAR) for ground moving target indication (GMTI) and imaging (GMTIm) have been gaining increasing interests for both civilian and military applications.
S. Andishe Moezzi +1 more
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Sparse Robust Filters for scene classification of Synthetic Aperture Radar (SAR) images [PDF]
Neurocomputing, 2016 With the increasing resolution of Synthetic Aperture Radar (SAR) images, extracting their discriminative features for scenes classification has become a challenging task, because SAR images are very sensitive to target aspect brought by shadowing effects, interaction of the signature with the environment, and so on.
Shuyuan Yang +3 more
openaire +1 more source
Verification of Complex Image Based Sparse SAR Imaging Method on GaoFen-3 Dataset
Leida xuebao, 2020 Sparse signal processing-based Synthetic Aperture Radar (SAR) imaging, also known as sparse SAR imaging, is the main research direction of sparse microwave imaging theory.
BI Hui +3 more
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Data‐driven sampling pattern design for sparse spotlight SAR imaging
Electronics Letters, 2022 This paper proposes a joint optimization method for the imaging algorithm and sampling scheme of sparse spotlight synthetic aperture radar (SAR) imaging based on deep convolutional neural networks.
Yao Zhao +4 more
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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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Near-Field 3D Sparse SAR Direct Imaging with Irregular Samples
Remote Sensing, 2022 Sparse imaging is widely used in synthetic aperture radar (SAR) imaging. Compared with the traditional matched filtering (MF) methods, sparse SAR imaging can directly image the scattered points of a target and effectively reduce the sidelobes and clutter
Shiqi Xing +5 more
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Design and Performance Analysis of Sparse TOPS SAR Mode
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Terrain observation by progressive scans (TOPS) is a novel and promising wide-swath synthetic aperture radar (SAR) imaging mode, which overcomes the scalloping effect existing in ScanSAR.
Hui Bi +6 more
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FMCW SAR Sparse Imaging Based on Approximated Observation: An Overview on Current Technologies
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 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.
Hui Bi +5 more
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