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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
11/10/2011 |
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Data da última atualização: |
24/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
ROMANI, L. A. S.; GONÇALVES, R. R. V.; AMARAL, B. F.; CHINO, D. Y. T.; ZULLO JUNIOR, J.; TRAINA JUNIOR, C.; SOUSA, E. P. M.; TRAINA, A. J. M. TRAINA. |
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Afiliação: |
LUCIANA ALVIM SANTOS ROMANI, CNPTIA; R. R. V. GONÇALVES, Unicamp; B. F. AMARAL, Unicamp; D. Y. T. CHINO, USP; JURANDIR ZULLO JUNIOR, Cepagri/Unicamp; C. TRAINA JUNIOR, USP; E. P. M. SOUSA, USP; A. J. M. TRAINA, USP. |
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Título: |
Clustering analysis applied to NOAA/AVHRR multitemporal images to improve the monitoring process of sugarcane crops. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 6., 2011, Trento. Proceedings... Piscataway: IEEE; Italy: University of Trento, 2011. |
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Páginas: |
p. 33-36. |
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Idioma: |
Inglês |
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Conteúdo: |
This paper discusses how to take advantage of clustering techniques to analyze and extract useful information from multitemporal images of low spatial resolution satellites to monitor the sugarcane expansion. Additionally, we introduce the SatImagExplorer system that was developed to automatically extract time series from a huge volume of remote sensing images as well as provide algorithms of clustering analysis and geospatial visualization. According to experiments accomplished with spectral images of sugarcane ?elds, this proposed approach can be satisfactorily used in crop monitoring. |
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Palavras-Chave: |
Clusterização; Culturas de cana-de-açúcar; Imagem multitemporal; Imagens de NOAA/AVHRR; Mineração de dados; Séries temporais. |
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Thesaurus Nal: |
Cluster analysis; Image analysis; Sugarcane; Time series analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01721nam a2200325 a 4500
001 1902900
005 2020-01-24
008 2011 bl uuuu u00u1 u #d
100 1 $aROMANI, L. A. S.
245 $aClustering analysis applied to NOAA/AVHRR multitemporal images to improve the monitoring process of sugarcane crops.$h[electronic resource]
260 $aIn: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 6., 2011, Trento. Proceedings... Piscataway: IEEE; Italy: University of Trento$c2011
300 $ap. 33-36.
520 $aThis paper discusses how to take advantage of clustering techniques to analyze and extract useful information from multitemporal images of low spatial resolution satellites to monitor the sugarcane expansion. Additionally, we introduce the SatImagExplorer system that was developed to automatically extract time series from a huge volume of remote sensing images as well as provide algorithms of clustering analysis and geospatial visualization. According to experiments accomplished with spectral images of sugarcane ?elds, this proposed approach can be satisfactorily used in crop monitoring.
650 $aCluster analysis
650 $aImage analysis
650 $aSugarcane
650 $aTime series analysis
653 $aClusterização
653 $aCulturas de cana-de-açúcar
653 $aImagem multitemporal
653 $aImagens de NOAA/AVHRR
653 $aMineração de dados
653 $aSéries temporais
700 1 $aGONÇALVES, R. R. V.
700 1 $aAMARAL, B. F.
700 1 $aCHINO, D. Y. T.
700 1 $aZULLO JUNIOR, J.
700 1 $aTRAINA JUNIOR, C.
700 1 $aSOUSA, E. P. M.
700 1 $aTRAINA, A. J. M. TRAINA
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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