Laser & Optoelectronics Progress, Volume. 61, Issue 12, 1237001(2024)

Dimensionality Reduction Algorithm for Hyperspectral Image Based on Self-Supervised Learning

Zheng Zhou1,3, Yu Yang2、*, Gan Zhang4, Libing Xu3, Mingqing Wang1,3, and Qibing Zhu2
Author Affiliations
  • 1Wuxi Nine Cosmos Technology Co., Ltd., Wuxi 214072, Jiangsu, China
  • 2Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, Jiangsu, China
  • 3Department of Earth System Science, Tsinghua University, Beijing 100084, China
  • 4School of Electronic and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou 450052, Henan, China
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    References(24)

    [9] Liu X, Zhang F J, Hou Z Y et al. Self-supervised learning: generative or contrastive[J]. IEEE Transactions on Knowledge and Data Engineering, 35, 857-876(2023).

    [12] Guo M H, Liu Z N, Mu T J et al. Beyond self-attention: external attention using two linear layers for visual tasks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 5436-5447(2023).

    [14] Sui H, Zhu H N, Zhang Y et al. Ultrashort chirped pulse amplification in fiber based on deep learning[J]. Acta Optica Sinica, 43, 0319001(2023).

    [16] Zhang L G, Sun S C, Wang L et al. Band selection algorithm based on inter-class separability[J]. Laser & Optoelectronics Progress, 59, 0428003(2022).

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    Zheng Zhou, Yu Yang, Gan Zhang, Libing Xu, Mingqing Wang, Qibing Zhu. Dimensionality Reduction Algorithm for Hyperspectral Image Based on Self-Supervised Learning[J]. Laser & Optoelectronics Progress, 2024, 61(12): 1237001

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    Paper Information

    Category: Digital Image Processing

    Received: Jul. 3, 2023

    Accepted: Aug. 22, 2023

    Published Online: Jun. 5, 2024

    The Author Email: Yu Yang (yangxiangyu1168@163.com)

    DOI:10.3788/LOP231646

    CSTR:32186.14.LOP231646

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