Laser & Optoelectronics Progress, Volume. 61, Issue 18, 1837013(2024)

Hyperspectral Image Classification Based on Enhanced Dynamic-Graph-Convolutional Feature Extraction

Tie Li, Qiaoyu Gao*, and Wenxu Li
Author Affiliations
  • School of Electronics and Information Engineering, Liaoning University of Engineering and Techonlogy, Huludao 125105, Liaoning, China
  • show less
    References(19)

    [3] Ma L, Crawford M M, Tian J W. Local manifold learning-based $k$-nearest-neighbor for hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 48, 4099-4109(2010).

    [12] Xu K J, Zhao Y, Zhang L M et al. Spectral-spatial residual graph attention network for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 19, 5509305(1985).

    Tools

    Get Citation

    Copy Citation Text

    Tie Li, Qiaoyu Gao, Wenxu Li. Hyperspectral Image Classification Based on Enhanced Dynamic-Graph-Convolutional Feature Extraction[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1837013

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Digital Image Processing

    Received: Dec. 29, 2023

    Accepted: Feb. 18, 2024

    Published Online: Sep. 14, 2024

    The Author Email: Qiaoyu Gao (1368986899@qq.com)

    DOI:10.3788/LOP232792

    CSTR:32186.14.LOP232792

    Topics