DisOptNet: Distilling Semantic Knowledge From Optical Images for Weather-Independent Building Segmentation

Literals

ou:bibtex
- @article{Kang_2022, doi = {10.1109/tgrs.2022.3165209}, url = {https://doi.org/10.1109%2Ftgrs.2022.3165209}, year = 2022, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {60}, pages = {1--15}, author = {Jian Kang and Zhirui Wang and Ruoxin Zhu and Junshi Xia and Xian Sun and Ruben Fernandez-Beltran and Antonio Plaza}, title = {{DisOptNet}: Distilling Semantic Knowledge From Optical Images for Weather-Independent Building Segmentation}, journal = {{IEEE} Transactions on Geoscience and Remote Sensing} }
ou:eid
- 2-s2.0-85127830321
dcterms:contributor
- Kang J., Wang Z., Zhu R., Xia J., Sun X., Fernandez-Beltran R., Plaza A.
dcterms:creator
- Kang J.
bibo:doi
- 10.1109/tgrs.2022.3165209
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127830321&origin=inward
bibo:eissn
- 1558-0644
fabio:hasPublicationYear
- 2022
vivo:identifier
- 2022-972
bibo:issn
- 0196-2892
dcterms:publisher
- IEEE Transactions on Geoscience and Remote Sensing
ou:tipoPublicacion
- Article
dcterms:title
- DisOptNet: Distilling Semantic Knowledge From Optical Images for Weather-Independent Building Segmentation
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127830321&origin=inward
ou:urlOrcid
- https://doi.org/10.1109/TGRS.2022.3165209
bibo:volume
- 60