Results 91 to 100 of about 302,463 (187)
DeepRED Based Sparse SAR Imaging
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
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Comparison of Raw Data-Based and Complex Image-Based Sparse SAR Imaging Methods
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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The imaging detection of ultrasonic guided waves in plates using arc sparse arrays is highly significant for weld scattering conditions. A novel approach for detecting welded plate structures using the left rank of ultrasonic guided waves in arc sparse ...
Xinjie Zhu +4 more
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Array Three-Dimensional SAR Imaging via Composite Low-Rank and Sparse Prior
Array three-dimensional (3D) synthetic aperture radar (SAR) imaging has been used for 3D modeling of urban buildings and diagnosis of target scattering characteristics, and represents one of the significant directions in SAR development in recent years ...
Zhiliang Yang +6 more
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Variational image regularization with Euler's elastica using a discrete gradient scheme
This paper concerns an optimization algorithm for unconstrained non-convex problems where the objective function has sparse connections between the unknowns.
Lazić, Jasmina +2 more
core
Sparse Synthetic Aperture Radar (SAR) imaging has garnered significant attention due to its ability to suppress azimuth ambiguity in under-sampled conditions, making it particularly useful for high-resolution wide-swath (HRWS) SAR systems.
Zhiyi Jin +3 more
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Geometrically-Inspired Sparse MIMO Array Design for Enhanced mm-Wave Near-Field Imaging
In this paper, an efficient method of sparse MIMO array design is proposed to enhance the millimeter-wave near-field imaging by utilizing the geometric properties of the virtual array with uniform coverage of two-dimensional aperture and the minimal ...
Li Ding +4 more
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Sparse reconstruction-based imaging techniques can be utilized to solve forward-looking imaging problems with limited azimuth resolution. However, these methods perform well only under the traditional model for the platform with low speed, and the ...
Yiheng Guo +3 more
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Sparse synthetic aperture radar (SAR) imaging has demonstrated excellent potential in image quality improvement and data compression. However, conventional observation matrix-based methods suffer from high computational overhead, which is hard to use for
Zhongyuan Ji, Lingyu Li, Hui Bi
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Physics-Informed Masked Autoencoder for active sparse imaging. [PDF]
McEvoy L, Tafone D, Sua YM, Huang Y.
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