Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Natural Science Basic Research Program of Shaanxi Province
Reference67 articles.
1. Feature extraction for hyperspectral imagery: the evolution from shallow to deep: overview and toolbox;Rasti;IEEE Geosci. Remote Sens. Mag.,2020
2. Advances in hyperspectral image classification: Earth monitoring with statistical learning methods;Camps-Valls;IEEE Signal Process. Mag.,2014
3. H. Dong, L. Zhang, and B. Zou, Band attention convolutional networks for hyperspectral image classification, arXiv preprint arXiv:1906.04379, 2019.
4. Remote Sensing Digital Image Analysis;Richards,1999
5. A.I. Champa, M.F. Rabbi, and N. Banik, Improvement in hyperspectral image classification by using hybrid subspace detection technique, In 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), pages 1–5, 2019.
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