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Active learning-clustering-group convolutions network for hyperspectral images classification
Information Sciences | 更新时间：2024-05-18
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    • Active learning-clustering-group convolutions network for hyperspectral images classification

    • “科技新闻播报：在高光谱图像分类领域，专家提出了一种创新方法AL-CGNet。该方法结合主动学习和聚类分组网络，有效应对网络参数量大和带类标样本少的挑战。AL-CGNet通过轻量化网络模型降低参数量，并利用无类标样本信息提升分类精度。实验证明，AL-CGNet在多个数据集上表现优异，显著提高HSI分类效率与精度，为相关领域研究提供有力支持。”
      ”
    • Optics and Precision Engineering   Vol. 32, Issue 9, Pages: 1395-1407(2024)

    • DOI：10.37188/OPE.20243209.1395    

      CLC： TP391

    • Published：10 May 2024，

      Received：02 November 2023，

      Revised：12 December 2023，

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  • LIU Jing,LI Yinqiao,LIU Yi.Active learning-clustering-group convolutions network for hyperspectral images classification[J].Optics and Precision Engineering,2024,32(09):1395-1407. DOI： 10.37188/OPE.20243209.1395.

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Related Institution

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