Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution

Literals

bibo:issn
- 1545-598X
ou:bibtex
- @article{Paoletti2022,title = {Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution},journal = {IEEE Geoscience and Remote Sensing Letters},year = {2022},volume = {19},author = {Garcia, J.L. and Paoletti, M.E. and Jimenez, L.I. and Haut, J.M. and Plaza, A.}}
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122895467&origin=inward
bibo:doi
- 10.1109/lgrs.2022.3140950
dcterms:creator
- Garcia J.L.
dcterms:contributor
- Garcia J.L.; Paoletti M.E.; Jimenez L.I.; Haut J.M.; Plaza A.
ou:eid
- 2-s2.0-85122895467
bibo:eissn
- 1558-0571
fabio:hasPublicationYear
- 2022
vivo:identifier
- 2022-255
dcterms:publisher
- IEEE Geoscience and Remote Sensing Letters
ou:tipoPublicacion
- Article
dcterms:title
- Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122895467&origin=inward
ou:urlOrcid
- http://www.scopus.com/inward/record.url?eid=2-s2.0-85122895467&partnerID=MN8TOARS
bibo:volume
- 19