PUBLICACIÓN

SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Hong D.; Han Z.; Yao J.; Gao L.; Zhang B.; Plaza A.; Chanussot J.

2022 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Earth and Planetary Sciences (miscellaneous) (Q1), Electrical and Electronic Engineering (Q1)

JCR: 8.2

SJR: 2.4


CITAS

1344

DOI

10.1109/tgrs.2021.3130716

EID

2-s2.0-85120553741

ISSN

0196-2892

EISSN

1558-0644

BIBTEX

@article{Hong_2022, doi = {10.1109/tgrs.2021.3130716}, url = {https://doi.org/10.1109%2Ftgrs.2021.3130716}, year = 2022, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {60}, pages = {1--15}, author = {Danfeng Hong and Zhu Han and Jing Yao and Lianru Gao and Bing Zhang and Antonio Plaza and Jocelyn Chanussot}, title = {{SpectralFormer}: Rethinking Hyperspectral Image Classification With Transformers}, journal = {{IEEE} Transactions on Geoscience and Remote Sensing} }


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