Hyperspectral unmixing using sparsity-constrained deep nonnegative matrix factorization with total variation

Literals

bibo:issn
- 0196-2892
ou:bibtex
- @article{Plaza2018,title = {Hyperspectral unmixing using sparsity-constrained deep nonnegative matrix factorization with total variation},journal = {IEEE Transactions on Geoscience and Remote Sensing},year = {2018},volume = {56},number = {10},pages = {6245-6257},author = {Feng, X.-R. and Li, H.-C. and Li, J. and Du, Q. and Plaza, A. and Emery, W.J.}}
dcterms:contributor
- Feng, X.-R., Li, H.-C., Li, J., Du, Q., Plaza, A., Emery, W.J.
vivo:identifier
- 2018-825
dcterms:creator
- Feng X.R.
ou:eid
- 2-s2.0-85048148719
fabio:hasPublicationYear
- 2018
bibo:doi
- 10.1109/tgrs.2018.2834567
bibo:page_range
- 6245-6257
dcterms:publisher
- IEEE Transactions on Geoscience and Remote Sensing
ou:tipoPublicacion
- Article
dcterms:title
- Hyperspectral unmixing using sparsity-constrained deep nonnegative matrix factorization with total variation
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85048148719&origin=inward
ou:urlOrcid
- http://www.scopus.com/inward/record.url?eid=2-s2.0-85048148719&partnerID=MN8TOARS
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85048148719&origin=inward
bibo:volume
- 56