Výsledky vyhledávání - "Zhao Guoqiang"

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Sparse Multi-baseline SAR Cross-modal 3D Reconstruction of Vehicle Targets

Autor: Li, Da, Zhao, Guoqiang, Sun, Houjun, Bao, Jiacheng

Multi-baseline SAR 3D imaging faces significant challenges due to data sparsity. In recent years, deep learning techniques have achieved notable success in enhancing the quality of sparse SAR 3D imaging. However, previous work typically rely on full-

Externí odkaz: http://arxiv.org/abs/2406.04158

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AxonCallosumEM Dataset: Axon Semantic Segmentation of Whole Corpus Callosum cross section from EM Images

Autor: Cheng, Ao, Zhao, Guoqiang, Wang, Lirong, Zhang, Ruobing

The electron microscope (EM) remains the predominant technique for elucidating intricate details of the animal nervous system at the nanometer scale. However, accurately reconstructing the complex morphology of axons and myelin sheaths poses a signif

Externí odkaz: http://arxiv.org/abs/2307.02464

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Towards Large-scale Single-shot Millimeter-wave Imaging for Low-cost Security Inspection

Autor: Bian, Liheng, Li, Daoyu, Wang, Shuoguang, Teng, Chunyang, Liu, Huteng, Xu, Hanwen, Chang, Xuyang, Zhao, Guoqiang, Li, Shiyong, Zhang, Jun

Millimeter-wave (MMW) imaging is emerging as a promising technique for safe security inspection. It achieves a delicate balance between imaging resolution, penetrability and human safety, resulting in higher resolution compared to low-frequency micro

Externí odkaz: http://arxiv.org/abs/2305.15750

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Compressive Sensing Based Sparse MIMO Array Optimization for Wideband Near-Field Imaging

Autor: Wang, Shuoguang, Li, Shiyong, Hoorfar, Ahmad, Miao, Ke, Zhao, Guoqiang, Sun, Houjun

In the area of near-field millimeter-wave imaging, the generalized sparse array synthesis (SAS) method is in great demand. The traditional methods usually employ the greedy algorithms, which may have the convergence problem. This paper proposes a con

Externí odkaz: http://arxiv.org/abs/2208.04515

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