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)![]() ![]() |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2014RA005.pdf | 5,09 MB | Adobe PDF | ![]() View/Open |








