Local Linear Spectral Unmixing via Cluster Analysis and Non-Negative Matrix Factorization for Hyperspectral (Chris/Proba) Imagery
Lazar, VC, Demarchi, L, Steenhoff, D, Chan, JC-W, Nowe, A & Sahli, H 2012, Local Linear Spectral Unmixing via Cluster Analysis and Non-Negative Matrix Factorization for Hyperspectral (Chris/Proba) Imagery. in IEEE Geoscience and Remote Sensing Symposium (IGARSS 2012), Munich. IEEE, pp. 7267-7270, 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, 22/07/12.
Lazar, V. C., Demarchi, L., Steenhoff, D., Chan, J. C.-W., Nowe, A., & Sahli, H. (2012). Local Linear Spectral Unmixing via Cluster Analysis and Non-Negative Matrix Factorization for Hyperspectral (Chris/Proba) Imagery. In IEEE Geoscience and Remote Sensing Symposium (IGARSS 2012), Munich (pp. 7267-7270). IEEE.
@inproceedings{e8f91434a778439c9fc5177e9a383f56,
title = "Local Linear Spectral Unmixing via Cluster Analysis and Non-Negative Matrix Factorization for Hyperspectral (Chris/Proba) Imagery",
abstract = "Local Linear Spectral Unmixing via Cluster Analysis and Non-Negative Matrix Factorization for Hyperspectral (Chris/Proba) Imagery",
keywords = "Machine learning for data mining",
author = "Lazar, {Vasile Cosmin} and Luca Demarchi and David Steenhoff and Chan, {Jonathan Cheung-Wai} and Ann Nowe and Hichem Sahli",
year = "2012",
language = "English",
isbn = "978-1-4673-1160-1",
pages = "7267--7270",
booktitle = "IEEE Geoscience and Remote Sensing Symposium (IGARSS 2012), Munich",
publisher = "IEEE",
note = "2012 IEEE International Geoscience and Remote Sensing Symposium ; Conference date: 22-07-2012 Through 27-07-2012",
}