SWTNet: hyperspectral image classification using two-stage combined shallow and deep feature extraction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07440-w.pdf
Reference80 articles.
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3. Plaza A, Bioucas-Dias JM, Simic A, Blackwell WJ (2012) Foreword to the special issue on hyperspectral image and signal processing. IEEE J Select Top Appl Earth Observat Remot Sens 5(2):347–353. https://doi.org/10.1109/JSTARS.2012.2194598
4. Tong Q, Xue Y, Zhang L (2014) Progress in hyperspectral remote sensing science and technology in china over the past three decades. IEEE J Select Top Appl Earth Observat Remot Sens 7(1):70–91. https://doi.org/10.1109/JSTARS.2013.2267204
5. Harsanyi JC, Chang C-I (1994) Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach. IEEE Trans Geosci Remote Sens 32(4):779–785
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