A comparative evaluation of state-of-the-art ensemble learning algorithms for land cover classification using WorldView-2, Sentinel-2 and ROSIS imagery
Crossref DOI link: https://doi.org/10.1007/s12517-022-10243-x
Published Online: 2022-05-06
Published Print: 2022-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Colkesen, Ismail http://orcid.org/0000-0001-9670-3023
Ozturk, Muhammed Yusuf
Text and Data Mining valid from 2022-05-01
Version of Record valid from 2022-05-01
Article History
Received: 28 January 2022
Accepted: 28 April 2022
First Online: 6 May 2022
Declarations
:
: The authors declare no competing interests.