Hyperspectral and LiDAR Data Classification Using Joint CNNs and Morphological Feature Learning

Literals

vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85130821610&origin=inward
fabio:hasPublicationYear
- 2022
dcterms:contributor
- Roy S.K., Deria A., Hong D., Ahmad M., Plaza A., Chanussot J.
bibo:doi
- 10.1109/tgrs.2022.3177633
bibo:eissn
- 1558-0644
dcterms:creator
- Roy S.K.
ou:bibtex
- @article{Roy_2022, doi = {10.1109/tgrs.2022.3177633}, url = {https://doi.org/10.1109%2Ftgrs.2022.3177633}, year = 2022, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {60}, pages = {1--16}, author = {Swalpa Kumar Roy and Ankur Deria and Danfeng Hong and Muhammad Ahmad and Antonio Plaza and Jocelyn Chanussot}, title = {Hyperspectral and {LiDAR} Data Classification Using Joint {CNNs} and Morphological Feature Learning}, journal = {{IEEE} Transactions on Geoscience and Remote Sensing} }
ou:eid
- 2-s2.0-85130821610
vivo:identifier
- 2022-968
bibo:issn
- 0196-2892
dcterms:publisher
- IEEE Transactions on Geoscience and Remote Sensing
ou:tipoPublicacion
- Article
dcterms:title
- Hyperspectral and LiDAR Data Classification Using Joint CNNs and Morphological Feature Learning
ou:urlOrcid
- https://doi.org/10.1109/TGRS.2022.3177633
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85130821610&origin=inward
bibo:volume
- 60