Deep transfer learning based fusion model for environmental remote sensing image classification model

dc.contributor.author	Hilal, A. M.
dc.contributor.author	Al Wesabi, F. N.
dc.contributor.author	Alzahrani¿, K. J.
dc.contributor.author	Al Duhayyim, M.
dc.contributor.author	Ahmed Hamza, M.
dc.contributor.author	Rizwanullah, M
dc.contributor.author	García Díaz, Vicente
dc.date.accessioned	2022-10-25T11:09:16Z
dc.date.available	2022-10-25T11:09:16Z
dc.date.issued	2022
dc.identifier.citation	European Journal of Remote Sensing (2022); doi:10.1080/22797254.2021.2017799
dc.identifier.issn	2279-7254
dc.identifier.uri	http://hdl.handle.net/10651/64956
dc.description.sponsorship	This work was supported by Taif University Researchers Supporting Program (project number: TURSP-2020/128), Taif University, Saudi Arabia. The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work under grant number (RGP 2/209/42).
dc.language.iso	eng
dc.relation.ispartof	European journal of remote sensing
dc.rights	© Informa UK Ltd, Taylor & Francis Group
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122768557&doi=10.1080%2f22797254.2021.2017799&partnerID=40&md5=8af780b0c9baf56ab76f3189b4327ca9
dc.title	Deep transfer learning based fusion model for environmental remote sensing image classification model
dc.type	journal article
dc.identifier.doi	10.1080/22797254.2021.2017799
dc.relation.publisherversion	http://dx.doi.org/10.1080/22797254.2021.2017799

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