Sparse representation-based hyperspectral image classification

Author:

Wang HairongORCID,Celik Turgay

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Reference24 articles.

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2. Awate, S., Koushik, N.: Robust dictionary learning on the Hilbert sphere in kernel feature space. In: Frasconi, P., Landwehr, N., Manco, G., Vreeken, J. (eds.) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2016, vol. 9851, pp. 731–748. Springer, Cham (2016)

3. Bertsekas, D.P.: Nonlinear Programming, 2nd edn. Athena Scientific, Belmont (1999)

4. Blanzieri, E., Melgani, F.: Nearest neighbor classification of remote sensing images with the maximal margin principle. IEEE Trans. Geosci. Remote Sens. 46(6), 1804–1811 (2008)

5. Camps-Valls, G., Gomez-Chova, L., Muñoz-Marí, J., Vila-Francís, J., Calpe-Maravilla, J.: Composite kernels for hyperspectral image classification. IEEE Geosci. Remote Sens. Lett. 3(1), 93–97 (2006)

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