Active learning with convolutional neural networks for hyperspectral image classification using a new bayesian approach

Literals

ou:urlOrcid
- http://www.scopus.com/inward/record.url?eid=2-s2.0-85048884074&partnerID=MN8TOARS
dcterms:creator
- Haut J.M.
ou:bibtex
- @article{Paoletti2018,title = {Active learning with convolutional neural networks for hyperspectral image classification using a new bayesian approach},journal = {IEEE Transactions on Geoscience and Remote Sensing},year = {2018},volume = {56},number = {11},pages = {6440-6461},author = {Haut, J.M. and Paoletti, M.E. and Plaza, J. and Li, J. and Plaza, A.}}
dcterms:contributor
- Haut J.M., Paoletti M.E., Plaza J., Li J., Plaza A.
vivo:identifier
- 2018-191
bibo:page_range
- 6440-6461
ou:eid
- 2-s2.0-85048884074
bibo:issn
- 0196-2892
bibo:doi
- 10.1109/tgrs.2018.2838665
fabio:hasPublicationYear
- 2018
dcterms:publisher
- IEEE Transactions on Geoscience and Remote Sensing
ou:tipoPublicacion
- Article
dcterms:title
- Active learning with convolutional neural networks for hyperspectral image classification using a new bayesian approach
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85048884074&origin=inward
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85048884074&origin=inward
bibo:volume
- 56