Dictionary cache transformer for hyperspectral image classification
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04934-5.pdf
Reference52 articles.
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2. Zhong Y, Wang X, Xu Y, Wang S, Jia T, Hu X, Zhao J, Wei L, Zhang L (2018) Mini-UAVborne hyperspectral remote sensing: From observation and processing to applications. IEEE Geosci Remote Sens Mag 6(4):46–62. https://doi.org/10.1109/mgrs.2018.2867592
3. Maxwell AE, Warner TA, Fang F (2018) Implementation of machine-learning classification in remote sensing: an applied review. Int. J. Remote Sens. 39(9):2784–2817. https://doi.org/10.1080/01431161.2018.1433343
4. Zhao J, Zhong Y, Hu X, Wei L, Zhang L (2020) A robust spectral-spatial approach to identifying heterogeneous crops using remote sensing imagery with high spectral and spatial resolutions. Remote Sens Environ 239:111605. https://doi.org/10.1016/j.rse.2019.111605
5. Ang KL, Seng JK (2021) Big data and machine learning with hyperspectral information in agriculture. IEEE Access 9:36699–36718. https://doi.org/10.1109/ACCESS.2021.3051196
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