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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1004826
Título: | Data mining and object based image analysis applied to soybean areas classification through time-series TM/ETM+ images. |
Autor: | SCHULTZ, B.![]() ![]() BERTANI, G. ![]() ![]() FORMAGGIO, A. R. ![]() ![]() EBERHARDT, D. S. ![]() ![]() LUIZ, A. J. B. ![]() ![]() ATZBERGER, C. ![]() ![]() |
Afiliación: | 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. |
Año: | 2014 |
Referencia: | In: GEOGRAPHIC OBJECT-BASED IMAGE ANALYSIS CONFERENCE, 5., 2014, Tessalônica. Proceedings... Tessalônica: Aristotle University of Thessaloniki, 2014. Ref. O.T9 - 085. |
Páginas: | p. 122. |
Thesagro: | Estatística agrícola Soja |
NAL Thesaurus: | Agricultural statistics |
Palabras clave: | J48 Segmentação de multirresolução |
Tipo de Material: | Resumo em anais e proceedings |
Acceso: | openAccess |
Aparece en las colecciones: | Resumo em anais de congresso (CNPMA)![]() ![]() |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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2014RA005.pdf | 5.09 MB | Adobe PDF | ![]() Visualizar/Abrir |