Results 41 to 50 of about 16,245 (153)
Bistatic ISAR Sparse Imaging Method for High-Speed Moving Target Based on Dechirping Processing
Bistatic inverse synthetic aperture radar (ISAR) can increase the probability of tracking the high-speed target and provide more angle information than monostatic ISAR.
Chuangzhan Zeng, Weigang Zhu, Xin Jia
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RBM-based joint dictionary learning for ISAR resolution enhancement
In this study, an inverse synthetic aperture radar (ISAR) image resolution enhancement algorithm based on joint dictionary learning is proposed, by which two special sets of sparse signals called dictionaries are solved by exploiting numerous high ...
Jiaqi Ye +3 more
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ISAR Image Generation of Ships by Inpainting Using SinGAN
Inverse Synthetic Aperture Radar (ISAR) images are important in civilian and military applications. This is particularly true in military applications, where they are used for surveillance. One of the applications that we focus on is the Automatic Target
Hari Prasad Nandakumar +2 more
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A Hybrid SAR/ISAR Approach for Refocusing Maritime Moving Targets with the GF-3 SAR Satellite
Due to self-motion and sea waves, moving ships are typically defocused in synthetic aperture radar (SAR) images. To focus non-cooperative targets, the inverse SAR (ISAR) technique is commonly used with motion compensation.
Zhishuo Yan, Yi Zhang, Heng Zhang
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Real-World Biologic Use Patterns in Severe Asthma, 2015–2021: The CLEAR Study
Trung N Tran,1 Stephanie Chen,1 Benjamin Emmanuel,1 Alan Altraja,2,3 Arnaud Bourdin,4,5 Chau-Chyun Sheu,6,7 Ming-Ju Tsai,6,7 Flavia CL Hoyte,8 Anna Quinton,9 Bill Cook,1 Lakmini Bulathsinhala,10 William Henley,10,11 Celine Yun Yi Goh,10,12 Yang Liu,10 ...
Tran TN +16 more
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Focusing on the inverse synthetic aperture radar (ISAR) imaging of targets with complex motion, this paper proposes a modified version of the Fourier transform, called non-uniform rotation transform, to achieve cross-range compression.
Wenzhen Wu +4 more
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Bistatic Inverse Synthetic Aperture Radar (Bi-ISAR) imaging has a broad application in air and space target detection and recognition. However, due to the complexity and variability of the bistatic configuration, the Bi-ISAR imaging performance under ...
Hongmeng CHEN +7 more
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SR-DNnet: A Deep Network for Super-Resolution and De-Noising of ISAR Images
Inverse synthetic aperture radar (ISAR) images have become one of the most important pieces of information for airborne and maritime target identification.
Fengkai Liu +3 more
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Self-Supervised-ISAR-Net Enables Fast Sparse ISAR Imaging
Numerous sparse inverse synthetic aperture radar (ISAR) imaging methods based on unfolded neural networks have been developed for high-quality image reconstruction with sparse measurements. However, their training typically requires paired ISAR images and echoes, which are often difficult to obtain.
Wang, Ziwen +4 more
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