University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Potential Bands of Sentinel-2A Satellite for Classification Problems in Precision Agriculture

dc.contributor.authorZhang, Tian-Xiang
dc.contributor.authorSu, Jin-Ya
dc.contributor.authorLiu, Cun-Jia
dc.contributor.authorChen, Wen-Hua
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.date.accessioned2022-05-06T15:08:01Z
dc.date.available2022-05-06T15:08:01Z
dc.date.issued2019-02-01
dc.descriptionFunding Information: This work was supported by Science and Technology Facilities Council (STFC) under Newton fund (No. ST/N006852/1). Tian-Xiang Zhang would also like to thank Chinese Scholarship Council (CSC) for supporting his study in the UK.en
dc.description.statusPeer revieweden
dc.format.extent11
dc.format.extent2018030
dc.identifier215300396
dc.identifier18911527-7328-4036-99df-65c0409c2b3f
dc.identifier85054194615
dc.identifier.citationZhang, T-X, Su, J-Y, Liu, C-J & Chen, W-H 2019, 'Potential Bands of Sentinel-2A Satellite for Classification Problems in Precision Agriculture', International Journal of Automation and Computing, vol. 16, no. 1, pp. 16-26. https://doi.org/10.1007/s11633-018-1143-xen
dc.identifier.doi10.1007/s11633-018-1143-x
dc.identifier.iss1en
dc.identifier.issn1476-8186
dc.identifier.otherORCID: /0000-0002-3121-7208/work/112886814
dc.identifier.urihttps://hdl.handle.net/2164/18536
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85054194615&partnerID=8YFLogxKen
dc.identifier.vol16en
dc.language.isoeng
dc.relation.ispartofInternational Journal of Automation and Computingen
dc.subjectimage classificationen
dc.subjectprecision agricultureen
dc.subjectremote sensingen
dc.subjectSentinel-2Aen
dc.subjectsupervised learningen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectControl and Systems Engineeringen
dc.subjectModelling and Simulationen
dc.subjectComputer Science Applicationsen
dc.subjectApplied Mathematicsen
dc.subjectSTFC - Science and Technology Facilities Councilen
dc.subjectNo. ST/N006852/1en
dc.subject.lccQA75en
dc.titlePotential Bands of Sentinel-2A Satellite for Classification Problems in Precision Agricultureen
dc.typeJournal articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Zhang_et_al_IJAC_Potential_Bands_VOR.pdf
Size:
1.92 MB
Format:
Adobe Portable Document Format

Collections