Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Reham Al Dayil"'
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 516 (2021)
In this paper, we propose a remote-sensing scene-classification method based on vision transformers. These types of networks, which are now recognized as state-of-the-art models in natural language processing, do not rely on convolution layers as in
Externí odkaz:
https://doaj.org/article/aa8eacb888bb4e66a99f84c0a67ceba6
Autor:
Mohamad M. Al Rahhal, Yakoub Bazi, Reham Al-Dayil, Bashair M. Alwadei, Nassim Ammour, Naif Alajlan
Publikováno v:
International Journal of Remote Sensing. 43:6027-6037
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fefe95fefa216d4588028f9988d9e89
https://doi.org/10.1080/01431161.2022.2044539
https://doi.org/10.1080/01431161.2022.2044539
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e68a92bba9d6fbbe6b9d292967020acb
https://doi.org/10.1109/igarss46834.2022.9884020
https://doi.org/10.1109/igarss46834.2022.9884020
Publikováno v:
Remote Sensing; Volume 13; Issue 3; Pages: 516
Remote Sensing, Vol 13, Iss 516, p 516 (2021)
Remote Sensing, Vol 13, Iss 516, p 516 (2021)
In this paper, we propose a remote-sensing scene-classification method based on vision transformers. These types of networks, which are now recognized as state-of-the-art models in natural language processing, do not rely on convolution layers as in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e910935d304723dba9ea3e9be18d87d