%0 Conference Paper %1 conf/igarss/PaolettiTHWMH22 %A Paoletti, Mercedes Eugenia %A Tao, Xuanwen %A Han, Lirong %A Wu, Zhaoyue %A Moreno-Álvarez, Sergio %A Haut, Juan Mario %B IGARSS %D 2022 %I IEEE %K dblp %P 1380-1383 %T Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product. %U http://dblp.uni-trier.de/db/conf/igarss/igarss2022.html#PaolettiTHWMH22 %@ 978-1-6654-2792-0

@inproceedings{conf/igarss/PaolettiTHWMH22, added-at = {2024-02-05T00:00:00.000+0100}, author = {Paoletti, Mercedes Eugenia and Tao, Xuanwen and Han, Lirong and Wu, Zhaoyue and Moreno-Álvarez, Sergio and Haut, Juan Mario}, biburl = {https://www.bibsonomy.org/bibtex/2320b9a19fb8ed1bc73cdec24782c0b49/dblp}, booktitle = {IGARSS}, crossref = {conf/igarss/2022}, ee = {https://doi.org/10.1109/IGARSS46834.2022.9883028}, interhash = {b18e3e4f794ed7775ffef413eaa734ca}, intrahash = {320b9a19fb8ed1bc73cdec24782c0b49}, isbn = {978-1-6654-2792-0}, keywords = {dblp}, pages = {1380-1383}, publisher = {IEEE}, timestamp = {2024-04-10T01:11:01.000+0200}, title = {Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product.}, url = {http://dblp.uni-trier.de/db/conf/igarss/igarss2022.html#PaolettiTHWMH22}, year = 2022 }