Sentinel-2 satellite imagery for urban land cover classification by optimized random forest classifier
| dc.contributor.author | Zhang, Tianxiang | |
| dc.contributor.author | Su, Jinya | |
| dc.contributor.author | Xu, Zhiyong | |
| dc.contributor.author | Luo, Yulin | |
| dc.contributor.author | Li, Jiangyun | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.date.accessioned | 2022-04-25T11:25:01Z | |
| dc.date.available | 2022-04-25T11:25:01Z | |
| dc.date.issued | 2021-01-08 | |
| dc.description | Funding: This work was supported by the Fundamental Research Funds for the China Central Universities of USTB (FRF-DF-19-002), Scientific and Technological Innovation Foundation of Shunde Graduate School, USTB (BK20BE014). | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 17 | |
| dc.format.extent | 6089082 | |
| dc.identifier | 215299756 | |
| dc.identifier | 1a95698a-0da0-4430-aa41-60152b16832d | |
| dc.identifier | 85099230620 | |
| dc.identifier.citation | Zhang, T, Su, J, Xu, Z, Luo, Y & Li, J 2021, 'Sentinel-2 satellite imagery for urban land cover classification by optimized random forest classifier', Applied Sciences (Switzerland), vol. 11, no. 2, 543. https://doi.org/10.3390/app11020543 | en |
| dc.identifier.doi | 10.3390/app11020543 | |
| dc.identifier.issn | 2076-3417 | |
| dc.identifier.other | ORCID: /0000-0002-3121-7208/work/112496158 | |
| dc.identifier.uri | https://hdl.handle.net/2164/18476 | |
| dc.identifier.url | https://www.scopus.com/pages/publications/85099230620 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Applied Sciences (Switzerland) | en |
| dc.subject | SDG 15 - Life on Land | en |
| dc.subject | Bayesian optimization | en |
| dc.subject | Hyperparameter tuning | en |
| dc.subject | Land cover classification | en |
| dc.subject | Random forest | en |
| dc.subject | Sentinel-2 satellite | en |
| dc.subject | Urban management | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | General Materials Science | en |
| dc.subject | Instrumentation | en |
| dc.subject | General Engineering | en |
| dc.subject | Process Chemistry and Technology | en |
| dc.subject | Computer Science Applications | en |
| dc.subject | Fluid Flow and Transfer Processes | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Sentinel-2 satellite imagery for urban land cover classification by optimized random forest classifier | en |
| dc.type | Journal article | en |
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