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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
14/12/2017 |
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Data da última atualização: |
10/11/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
COSTA, W. S.; FONSECA, L. M. G.; KÖRTING, T. S.; SIMÕES, M.; BENDINI, H. N.; SOUZA, R. C. M. |
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Afiliação: |
WANDERSON S. COSTA, INPE; LEILA M. G. FONSECA, INPE; THALES S. KÖRTING, INPE; MARGARETH GONCALVES SIMOES, CNPS; HUGO N. BENDINI, INPE; RICARDO C. M. SOUZA, INPE. |
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Título: |
Segmentation of optical remote sensing images for detecting homogeneous regions in space and time. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: BRAZILIAN SYMPOSIUM ON GEOINFORMATICS, 18., 2017, Salvador. Proceedings... Salvador: Unifacs, 2017. p 40-51. |
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Idioma: |
Inglês |
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Notas: |
Também publicado na Revista Brasileira de Cartografia, v. 70, n. 5, p. 1779-1801, 2018. Special Issue XIX Brazilian Syposium on GeoInformatics, 2018. DOI: 10.14393/rbcv70n5-45227. |
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Conteúdo: |
With the amount of multitemporal and multiresolution images growing exponentially, the number of image segmentation applications is recently increasing and, simultaneously, new challenges arise. Hence, there is a need to explore new segmentation concepts and techniques that make use of the temporal dimension. This paper describes a spatio-temporal segmentation that adapts the traditional region growing technique to detect homogeneous regions in space and time in optical remote sensing images. Tests were conducted by considering the Dynamic Time Warping measure as the homogeneity criterion. Study cases on high temporal resolution for sequences of MODIS and Landsat-8 OLI vegetation indices products provided satisfactory outputs and demonstrated the potential of the spatio-temporal segmentation method. |
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Palavras-Chave: |
MODIS; Séries temporais. |
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Thesagro: |
Sensoriamento Remoto. |
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Thesaurus Nal: |
Landsat; Remote sensing. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/169028/1/2017-081.pdf
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Marc: |
LEADER 01753nam a2200241 a 4500
001 2082573
005 2021-11-10
008 2017 bl uuuu u00u1 u #d
100 1 $aCOSTA, W. S.
245 $aSegmentation of optical remote sensing images for detecting homogeneous regions in space and time.$h[electronic resource]
260 $aIn: BRAZILIAN SYMPOSIUM ON GEOINFORMATICS, 18., 2017, Salvador. Proceedings... Salvador: Unifacs, 2017. p 40-51.$c2017
500 $aTambém publicado na Revista Brasileira de Cartografia, v. 70, n. 5, p. 1779-1801, 2018. Special Issue XIX Brazilian Syposium on GeoInformatics, 2018. DOI: 10.14393/rbcv70n5-45227.
520 $aWith the amount of multitemporal and multiresolution images growing exponentially, the number of image segmentation applications is recently increasing and, simultaneously, new challenges arise. Hence, there is a need to explore new segmentation concepts and techniques that make use of the temporal dimension. This paper describes a spatio-temporal segmentation that adapts the traditional region growing technique to detect homogeneous regions in space and time in optical remote sensing images. Tests were conducted by considering the Dynamic Time Warping measure as the homogeneity criterion. Study cases on high temporal resolution for sequences of MODIS and Landsat-8 OLI vegetation indices products provided satisfactory outputs and demonstrated the potential of the spatio-temporal segmentation method.
650 $aLandsat
650 $aRemote sensing
650 $aSensoriamento Remoto
653 $aMODIS
653 $aSéries temporais
700 1 $aFONSECA, L. M. G.
700 1 $aKÖRTING, T. S.
700 1 $aSIMÕES, M.
700 1 $aBENDINI, H. N.
700 1 $aSOUZA, R. C. M.
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Registro original: |
Embrapa Solos (CNPS) |
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| Registros recuperados : 3 | |
| 1. |  | COSTA, W. S.; FONSECA, L. M. G.; KÖRTING, T. S.; SIMÕES, M.; BENDINI, H. N.; SOUZA, R. C. M. Segmentation of optical remote sensing images for detecting homogeneous regions in space and time. In: BRAZILIAN SYMPOSIUM ON GEOINFORMATICS, 18., 2017, Salvador. Proceedings... Salvador: Unifacs, 2017. p 40-51. Também publicado na Revista Brasileira de Cartografia, v. 70, n. 5, p. 1779-1801, 2018. Special Issue XIX Brazilian Syposium on GeoInformatics, 2018. DOI: 10.14393/rbcv70n5-45227.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 2. | | SILVA, A. B. DA; PINTO, F. DAS C. L.; LOTUFO, L. V. COSTA; COSTA, W. S.; AYALA, A. P.; CANUTO, K. M.; BARROS, A. B.; ARAÚJO, A. J.; FILHO, J. D. B. M.; PESSOA, O. D. L. 4-Hydroxy-pyran-2-one and 3-hydroxy-N-methyl-2-oxindole derivatives of Salinispora arenicola from Brazilian marine sediments. Fitoterapia, New York, v. 138, artigo 104357, 5 p., Oct. 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 3. | | DA SILVA, A. B.; SILVEIRA, E. R.; WILKE, D. V.; FERREIRA, E. G.; LOTUFO, L. V. C.; TORRES, M. C. M.; AYALA, A. P.; COSTA, W. S.; CANUTO, K. M.; NOBRE, A. R. DE A.; ARAÚJO, A. J.; MARINHO FILHO, J. D. B.; PESSOA, O. D. L. Antibacterial Salinaphthoquinones from a Strain of the Bacterium Salinispora arenicola Recovered from the Marine Sediments of St. Peter and St. Paul Archipelago, Brazil. Journal of Natural Products, Washington, DC, v. 82, n. 7, p. 1831-1838, 26 July 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| Registros recuperados : 3 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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