Hyperspectral Target Tracking Based on Dimensionality Reduction of Structural Tensors and Improved Context-Aware Correlation Filter

Dong Zhao; Bin Hu; Yuchen Zhuang; Xiang Teng; Chao Wang; Jia Li; Yecai Guo

doi:10.3788/AOS240464

Acta Optica Sinica, Volume. 44, Issue 11, 1115001(2024)

Hyperspectral Target Tracking Based on Dimensionality Reduction of Structural Tensors and Improved Context-Aware Correlation Filter

Dong Zhao^1,2, Bin Hu^1,2, Yuchen Zhuang¹, Xiang Teng³, Chao Wang¹, Jia Li⁴, and Yecai Guo^1,2、*

Author Affiliations

¹School of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China

²School of Electronics and Information Engineering, Wuxi University, Wuxi 214105, Jiangsu, China

³School of Physics, Xidian University, Xian710071, Shaanxi, China

⁴Department of Basic Sciences, Air Force Engineering University, Xi an 710051, Shaanxi, China

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Dong Zhao, Bin Hu, Yuchen Zhuang, Xiang Teng, Chao Wang, Jia Li, Yecai Guo. Hyperspectral Target Tracking Based on Dimensionality Reduction of Structural Tensors and Improved Context-Aware Correlation Filter[J]. Acta Optica Sinica, 2024, 44(11): 1115001

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Paper Information

Category: Machine Vision

Received: Jan. 9, 2024

Accepted: Mar. 8, 2024

Published Online: Jun. 12, 2024

The Author Email: Yecai Guo (ycguo@nuist.edu.cn)

DOI:10.3788/AOS240464

CSTR:32393.14.AOS240464

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