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dc.contributor.authorSCHULTZ, B.pt_BR
dc.contributor.authorBERTANI, G.pt_BR
dc.contributor.authorFORMAGGIO, A. R.pt_BR
dc.contributor.authorEBERHARDT, D. S.pt_BR
dc.contributor.authorLUIZ, A. J. B.pt_BR
dc.contributor.authorATZBERGER, C.pt_BR
dc.date.accessioned2015-01-08T11:11:11Zpt_BR
dc.date.available2015-01-08T11:11:11Zpt_BR
dc.date.created2015-01-08pt_BR
dc.date.issued2014pt_BR
dc.identifier.citationIn: GEOGRAPHIC OBJECT-BASED IMAGE ANALYSIS CONFERENCE, 5., 2014, Tessalônica. Proceedings... Tessalônica: Aristotle University of Thessaloniki, 2014. Ref. O.T9 - 085.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1004826pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectJ48pt_BR
dc.subjectSegmentação de multirresoluçãopt_BR
dc.titleData mining and object based image analysis applied to soybean areas classification through time-series TM/ETM+ images.pt_BR
dc.typeResumo em anais e proceedingspt_BR
dc.date.updated2015-01-08T11:11:11Zpt_BR
dc.subject.thesagroEstatística agrícolapt_BR
dc.subject.thesagroSojapt_BR
dc.subject.nalthesaurusAgricultural statisticspt_BR
dc.format.extent2p. 122.pt_BR
riaa.ainfo.id1004826pt_BR
riaa.ainfo.lastupdate2015-01-08pt_BR
dc.contributor.institutionRemote Sensing Division, Brazilian National Institute for Space Research, Brazil; Remote Sensing Division, Brazilian National Institute for Space Research, Brazil; Remote Sensing Division, Brazilian National Institute for Space Research, Brazil; Remote Sensing Division, Brazilian National Institute for Space Research, Brazil; ALFREDO JOSE BARRETO LUIZ, CNPMA; Institute of Surveying, Remote Sensing and Land Information, Department of Landscape, Spatial and Infrastructures Science, University of Natural Resources and Life Sciences, Vienna, Austria.pt_BR
Aparece en las colecciones:Resumo em anais de congresso (CNPMA)

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