Simultaneously Counting and Extracting Endmembers in a Hyperspectral Image Based on Divergent Subsets

Literals

vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097346570&origin=inward
dcterms:title
- Simultaneously Counting and Extracting Endmembers in a Hyperspectral Image Based on Divergent Subsets
bibo:eissn
- 1558-0644
dcterms:creator
- Tao X.
bibo:page_range
- 8952-8966
fabio:hasPublicationYear
- 2020
ou:eid
- 2-s2.0-85097346570
vivo:identifier
- 2020-1088
bibo:doi
- 10.1109/tgrs.2020.2992542
dcterms:contributor
- Tao X., Cui T., Plaza A., Ren P.
ou:bibtex
- @article{Tao_2020, doi = {10.1109/tgrs.2020.2992542}, url = {https://doi.org/10.1109%2Ftgrs.2020.2992542}, year = 2020, month = {dec}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {58}, number = {12}, pages = {8952--8966}, author = {Xuanwen Tao and Tingwei Cui and Antonio Plaza and Peng Ren}, title = {Simultaneously Counting and Extracting Endmembers in a Hyperspectral Image Based on Divergent Subsets}, journal = {{IEEE} Transactions on Geoscience and Remote Sensing} }
bibo:issn
- 0196-2892
ou:tipoPublicacion
- Article
dcterms:publisher
- IEEE Transactions on Geoscience and Remote Sensing
ou:urlOrcid
- https://doi.org/10.1109/TGRS.2020.2992542
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097346570&origin=inward
bibo:volume
- 58