Hyperspectral unmixing using double reweighted sparse regression and total variation
- Author
- Rui Wang, Heng-Chao Li, Aleksandra Pizurica (UGent) , Jun Li, Antonio Plaza and William Emery
- Organization
- Keywords
- hyperspectral imaging, spectral unmixing
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8529655
- MLA
- Wang, Rui, et al. “Hyperspectral Unmixing Using Double Reweighted Sparse Regression and Total Variation.” IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, vol. 14, no. 3, IEEE, 2017, pp. 1146–50, doi:10.1109/LGRS.2017.2700542.
- APA
- Wang, R., Li, H.-C., Pizurica, A., Li, J., Plaza, A., & Emery, W. (2017). Hyperspectral unmixing using double reweighted sparse regression and total variation. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 14(3), 1146–1150. https://doi.org/10.1109/LGRS.2017.2700542
- Chicago author-date
- Wang, Rui, Heng-Chao Li, Aleksandra Pizurica, Jun Li, Antonio Plaza, and William Emery. 2017. “Hyperspectral Unmixing Using Double Reweighted Sparse Regression and Total Variation.” IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 14 (3): 1146–50. https://doi.org/10.1109/LGRS.2017.2700542.
- Chicago author-date (all authors)
- Wang, Rui, Heng-Chao Li, Aleksandra Pizurica, Jun Li, Antonio Plaza, and William Emery. 2017. “Hyperspectral Unmixing Using Double Reweighted Sparse Regression and Total Variation.” IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 14 (3): 1146–1150. doi:10.1109/LGRS.2017.2700542.
- Vancouver
- 1.Wang R, Li H-C, Pizurica A, Li J, Plaza A, Emery W. Hyperspectral unmixing using double reweighted sparse regression and total variation. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 2017;14(3):1146–50.
- IEEE
- [1]R. Wang, H.-C. Li, A. Pizurica, J. Li, A. Plaza, and W. Emery, “Hyperspectral unmixing using double reweighted sparse regression and total variation,” IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, vol. 14, no. 3, pp. 1146–1150, 2017.
@article{8529655,
author = {{Wang, Rui and Li, Heng-Chao and Pizurica, Aleksandra and Li, Jun and Plaza, Antonio and Emery, William}},
issn = {{1545-598X}},
journal = {{IEEE GEOSCIENCE AND REMOTE SENSING LETTERS}},
keywords = {{hyperspectral imaging,spectral unmixing}},
language = {{eng}},
number = {{3}},
pages = {{1146--1150}},
publisher = {{IEEE}},
title = {{Hyperspectral unmixing using double reweighted sparse regression and total variation}},
url = {{http://dx.doi.org/10.1109/LGRS.2017.2700542}},
volume = {{14}},
year = {{2017}},
}
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