Hyperspectral Classification via Global-Local Hierarchical Weighting Fusion Network

Literals

ou:vecesCitado
- 24
bibo:issn
- 1939-1404
dcterms:contributor
- Tu B., He W., He W., Ou X., Plaza A.
bibo:eissn
- 2151-1535
fabio:hasPublicationYear
- 2022
vivo:identifier
- 2022-978
dcterms:creator
- Tu B.
ou:bibtex
- @article{Tu_2022, doi = {10.1109/jstars.2021.3133009}, url = {https://doi.org/10.1109%2Fjstars.2021.3133009}, year = 2022, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {15}, pages = {184--200}, author = {Bing Tu and Wangquan He and Wei He and Xianfeng Ou and Antonio Plaza}, title = {Hyperspectral Classification via Global-Local Hierarchical Weighting Fusion Network}, journal = {{IEEE} Journal of Selected Topics in Applied Earth Observations and Remote Sensing} }
ou:eid
- 2-s2.0-85121347186
bibo:doi
- 10.1109/jstars.2021.3133009
bibo:page_range
- 184-200
dcterms:publisher
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
ou:tipoPublicacion
- Article
dcterms:title
- Hyperspectral Classification via Global-Local Hierarchical Weighting Fusion Network
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85121347186&origin=inward
ou:urlOrcid
- https://doi.org/10.1109/JSTARS.2021.3133009
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85121347186&origin=inward
bibo:volume
- 15