Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1004826
Title: Data mining and object based image analysis applied to soybean areas classification through time-series TM/ETM+ images.
Authors: SCHULTZ, B.
BERTANI, G.
FORMAGGIO, A. R.
EBERHARDT, D. S.
LUIZ, A. J. B.
ATZBERGER, C.
Affiliation: 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; 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.
Date Issued: 2014
Citation: In: GEOGRAPHIC OBJECT-BASED IMAGE ANALYSIS CONFERENCE, 5., 2014, Tessalônica. Proceedings... Tessalônica: Aristotle University of Thessaloniki, 2014. Ref. O.T9 - 085.
Pages: p. 122.
Thesagro: Estatística agrícola
Soja
NAL Thesaurus: Agricultural statistics
Keywords: J48
Segmentação de multirresolução
Type of Material: Resumo em anais e proceedings
Access: openAccess
Appears in Collections:Resumo em anais de congresso (CNPMA)

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