A Novel Algorithm for Hyperspectral Image Denoising in Medical Application
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s10916-019-1403-5.pdf
Reference24 articles.
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3. Alparone, L., Selva, M., Aiazzi, B., Baronti, S., Butera, F., and Chiarantini, L., Signal-dependent noise modelling and estimation of new-generation imaging spectrometers. In 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Grenoble, pp. 1–4, 2009.
4. Liu, X., Bourennane, S., and Fossati, C., Denoising of Hyperspectral Images Using the PARAFAC Model and Statistical Performance Analysis. IEEE Trans. Geosci. Remote Sens. 50(10):3717–3724, 2012.
5. Gao, L., Yao, D., Li, Q., Zhuang, L., Zhang, B., and Bioucas-Dias, J. M., A New Low-Rank Representation based hyperspectral image denoising method for mineral mapping. Remote Sens. 9:1145, 2017.
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