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Volume 9 Issue 10
Oct.  2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2022  >  9(10): 1892-1895
L. Y. Fang, D. S. Zhu, J. Yue, B. Zhang, and M. He, “Geometric-spectral reconstruction learning for multi-source open-set classification with hyperspectral and LiDAR data,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 10, pp. 1892–1895, Oct. 2022. doi: 10.1109/JAS.2022.105893
Citation: L. Y. Fang, D. S. Zhu, J. Yue, B. Zhang, and M. He, “Geometric-spectral reconstruction learning for multi-source open-set classification with hyperspectral and LiDAR data,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 10, pp. 1892–1895, Oct. 2022. doi: 10.1109/JAS.2022.105893
shu

Geometric-Spectral Reconstruction Learning for Multi-Source Open-Set Classification With Hyperspectral and LiDAR Data

doi: 10.1109/JAS.2022.105893
  • 1.

    College of Electrical and Information Engineering, Hunan University, Changsha 410082, and also with the Peng Cheng Laboratory, Shenzhen 518000, China

  • 2.

    College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

  • 3.

    Department of Geomatics Engineering, Changsha University of Science and Technology, Changsha 410114, China

  • 4.

    PAMI Research Group, the Department of Computer and Information Science, University of Macau, Macau 999078, China

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    • References(20)
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