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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
19/04/2018 |
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Data da última atualização: |
16/04/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
COSTA, W.; FONSECA, L.; KÖRTING, T.; SIMÕES, M.; KUCHLER, P. |
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Afiliação: |
WANDERSON COSTA, INPE; LEILA FONSECA, INPE; THALES KÖRTING, INPE; MARGARETH GONCALVES SIMOES, CNPS; PATRICK KUCHLER, UERJ; CIRAD. |
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Título: |
A case study for a multitemporal segmentation approach in optical remote sensing images. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON ADVANCED GEOGRAPHIC INFORMATION SYSTEMS, APPLICATIONS, AND SERVICES, 10., 2018, Rome. Proceedings... Haifa: Israel Institute of Technology, 2018. p. 66-70. |
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Idioma: |
Inglês |
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Notas: |
GEOProcessing 2018. |
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Conteúdo: |
Continuous observations from remote sensors provide high temporal and spatial resolution imagery, and better remote sensing image segmentation techniques are mandatory for efficient analysis. Among them, one of the most applied segmentation techniques is the region growing algorithm. Within this context, this paper describes a study case for a multitemporal segmentation that adapts the traditional region growing technique. Our method aims to detect homogeneous regions in space and time observing a sequence of optical remote sensing images. Tests were conducted by considering the Dynamic Time Warping distance as the homogeneity criterion to grow regions. A case study on high temporal resolution for sequences of Landsat-8 vegetation indices products provided satisfactory outputs. |
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Palavras-Chave: |
Dynamic Time Warping; Processamento de imagem; Segmentação multitemporal. |
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Thesagro: |
Sensoriamento remoto; Sistema de informação geográfica. |
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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/175690/1/2018-012.pdf
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Marc: |
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001 2090733
005 2019-04-16
008 2018 bl uuuu u00u1 u #d
100 1 $aCOSTA, W.
245 $aA case study for a multitemporal segmentation approach in optical remote sensing images.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON ADVANCED GEOGRAPHIC INFORMATION SYSTEMS, APPLICATIONS, AND SERVICES, 10., 2018, Rome. Proceedings... Haifa: Israel Institute of Technology, 2018. p. 66-70.$c2018
500 $aGEOProcessing 2018.
520 $aContinuous observations from remote sensors provide high temporal and spatial resolution imagery, and better remote sensing image segmentation techniques are mandatory for efficient analysis. Among them, one of the most applied segmentation techniques is the region growing algorithm. Within this context, this paper describes a study case for a multitemporal segmentation that adapts the traditional region growing technique. Our method aims to detect homogeneous regions in space and time observing a sequence of optical remote sensing images. Tests were conducted by considering the Dynamic Time Warping distance as the homogeneity criterion to grow regions. A case study on high temporal resolution for sequences of Landsat-8 vegetation indices products provided satisfactory outputs.
650 $aSensoriamento remoto
650 $aSistema de informação geográfica
653 $aDynamic Time Warping
653 $aProcessamento de imagem
653 $aSegmentação multitemporal
700 1 $aFONSECA, L.
700 1 $aKÖRTING, T.
700 1 $aSIMÕES, M.
700 1 $aKUCHLER, P.
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Embrapa Solos (CNPS) |
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| 1. |  | COSTA, W.; FONSECA, L.; KÖRTING, T.; SIMÕES, M.; KUCHLER, P. A case study for a multitemporal segmentation approach in optical remote sensing images. In: INTERNATIONAL CONFERENCE ON ADVANCED GEOGRAPHIC INFORMATION SYSTEMS, APPLICATIONS, AND SERVICES, 10., 2018, Rome. Proceedings... Haifa: Israel Institute of Technology, 2018. p. 66-70. GEOProcessing 2018.| Tipo: Artigo em Anais de Congresso |
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