3D Lightweight Spatial-Spectral Attention Network for Hyperspectral Image Classification

Author:

Zheng ZiyouORCID,Zhang ShuzhenORCID,Song Hailong,Yan Qi

Publisher

Springer Nature Singapore

Reference24 articles.

1. Lacar, F., Lewis, M., Grierson, I.: Use of hyperspectral imagery for mapping grape varieties in the Barossa valley, South Australia. In: 2001 International Geoscience and Remote Sensing Symposium, vol. 6, pp. 2875–2877 (2001)

2. Van Der Meer, F.: Analysis of spectral absorption features in hyperspectral imagery. Int. J. Appl. Earth Obs. Geoinf. 5(1), 55–68 (2004)

3. Hege, E.K., O’Connell, D., Johnson, W., Basty, S., Dereniak, E.L.: Hyperspectral imaging for astronomy and space surveillance. In: Imaging Spectrometry IX, vol. 5159, pp. 380–391 (2004)

4. Hughes, G.: On the mean accuracy of statistical pattern recognizers. IEEE Trans. Inf. Theory 14(1), 55–63 (1968)

5. Chen, Y., Lin, Z., Zhao, X., Wang, G., Gu, Y.: Deep learning-based classification of hyperspectral data. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 7(6), 2094–2107 (2014)

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