Acta Optica Sinica, Volume. 41, Issue 3, 0310001(2021)

Hyperspectral Image Classification Based on Dilated Convolutional Attention Neural Network

Xiangdong Zhang*, Tengjun Wang, Shaojun Zhu, and Yun Yang
Author Affiliations
  • School of Geology Engineering and Geomatics, Chang′an University, Xi′an, Shaanxi 710054, China
  • show less
    References(22)

    [4] Yang X G, Yu Y. Estimating soil salinity under various moisture conditions: An experimental study[J]. IEEE Transactions on Geoscience and Remote Sensing, 55, 2525-2533(2017).

    [6] Yokoya N, Chan J, Segl K. Potential of resolution-enhanced hyperspectral data for mineral mapping using simulated EnMAP and sentinel-2 images[J]. Remote Sensing, 8, 172(2016).

    [10] Bandos T V, Bruzzone L, Camps-Valls G. Classification of hyperspectral images with regularized linear discriminant analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 47, 862-873(2009).

    [11] Tarabalka Y, Fauvel M, Chanussot J et al. SVM- and MRF-based method for accurate classification of hyperspectral images[J]. IEEE Geoscience and Remote Sensing Letters, 7, 736-740(2010).

    [12] 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).

    [14] Makantasis K, Karantzalos K, Doulamis A et al. Deep supervised learning for hyperspectral data classification through convolutional neural networks[C]∥2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 26-31, 2015, Mila, 4959-4962(2015).

    [18] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA., 7132-7141(2018).

    [19] Woo S, Park J, Lee J Y et al[M]. CBAM: convolutional block attention module, 3-19(2018).

    [21] Yu F. -04-30)[2020-07-06]. https:∥arxiv., org/abs/1511, 07122(2016).

    [22] Szegedy C, Liu W, Jia Y Q et al. Going deeper with convolutions[C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA., 1-9(2015).

    Tools

    Get Citation

    Copy Citation Text

    Xiangdong Zhang, Tengjun Wang, Shaojun Zhu, Yun Yang. Hyperspectral Image Classification Based on Dilated Convolutional Attention Neural Network[J]. Acta Optica Sinica, 2021, 41(3): 0310001

    Download Citation

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

    Category: Image Processing

    Received: Jul. 6, 2020

    Accepted: Sep. 8, 2020

    Published Online: Feb. 28, 2021

    The Author Email: Zhang Xiangdong (18755150056@163.com)

    DOI:10.3788/AOS202141.0310001

    Topics