Minimizing the Impact of Signal-Dependent Noise on Hyperspectral Target Detection
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-25903-1_68
Reference29 articles.
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2. Nascimento, J.M.P., Bioucas-Dias, J.M.: Hyperspectral unmixing based on mixtures of dirichlet components. IEEE Trans. on Geosc. and Remote Sensing 50(3), 863–878 (2012)
3. Renard, N., Bourennane, S.: Improvement of target detection methods by multiway filtering. IEEE Trans. on Geosc. and Remote Sensing 46(8), 2407–2417 (2008)
4. Archibald, R., Fann, G.: Feature selection and classification of hyperspectral images with support vector machines. IEEE Trans. on Geosc. and Remote Sensing 4(8), 674–677 (2007)
5. Acito, N., Diani, M., Corsini, G.: Signal-dependent noise modeling and model parameter estimation in hyperspectral images. IEEE Trans. on Geosc. and Remote Sensing 49(8), 2957–2971 (2011)
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