A case study for a multitemporal segmentation approach in optical remote sensing images.
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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Format: | Anais e Proceedings de eventos biblioteca |
Language: | English eng |
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2018-04-19
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Subjects: | Segmentação multitemporal, Dynamic Time Warping, Processamento de imagem, Sistema de informação geográfica, Sensoriamento remoto, |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1090733 |
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dig-alice-doc-10907332018-04-20T01:10:46Z A case study for a multitemporal segmentation approach in optical remote sensing images. COSTA, W. FONSECA, L. KÖRTING, T. SIMÕES, M. KUCHLER, P. WANDERSON COSTA, INPE; LEILA FONSECA, INPE; THALES KÖRTING, INPE; MARGARETH GONCALVES SIMOES, CNPS; PATRICK KUCHLER, UERJ; CIRAD. Segmentação multitemporal Dynamic Time Warping Processamento de imagem Sistema de informação geográfica Sensoriamento remoto 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. GEOProcessing 2018. 2018-04-20T01:10:39Z 2018-04-20T01:10:39Z 2018-04-19 2018 2019-04-16T11:11:11Z Anais e Proceedings de eventos In: INTERNATIONAL CONFERENCE ON ADVANCED GEOGRAPHIC INFORMATION SYSTEMS, APPLICATIONS, AND SERVICES, 10., 2018, Rome. Proceedings... Haifa: Israel Institute of Technology, 2018. p. 66-70. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1090733 en eng openAccess |
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Segmentação multitemporal Dynamic Time Warping Processamento de imagem Sistema de informação geográfica Sensoriamento remoto Segmentação multitemporal Dynamic Time Warping Processamento de imagem Sistema de informação geográfica Sensoriamento remoto |
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Segmentação multitemporal Dynamic Time Warping Processamento de imagem Sistema de informação geográfica Sensoriamento remoto Segmentação multitemporal Dynamic Time Warping Processamento de imagem Sistema de informação geográfica Sensoriamento remoto COSTA, W. FONSECA, L. KÖRTING, T. SIMÕES, M. KUCHLER, P. A case study for a multitemporal segmentation approach in optical remote sensing images. |
description |
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. |
author2 |
WANDERSON COSTA, INPE; LEILA FONSECA, INPE; THALES KÖRTING, INPE; MARGARETH GONCALVES SIMOES, CNPS; PATRICK KUCHLER, UERJ; CIRAD. |
author_facet |
WANDERSON COSTA, INPE; LEILA FONSECA, INPE; THALES KÖRTING, INPE; MARGARETH GONCALVES SIMOES, CNPS; PATRICK KUCHLER, UERJ; CIRAD. COSTA, W. FONSECA, L. KÖRTING, T. SIMÕES, M. KUCHLER, P. |
format |
Anais e Proceedings de eventos |
topic_facet |
Segmentação multitemporal Dynamic Time Warping Processamento de imagem Sistema de informação geográfica Sensoriamento remoto |
author |
COSTA, W. FONSECA, L. KÖRTING, T. SIMÕES, M. KUCHLER, P. |
author_sort |
COSTA, W. |
title |
A case study for a multitemporal segmentation approach in optical remote sensing images. |
title_short |
A case study for a multitemporal segmentation approach in optical remote sensing images. |
title_full |
A case study for a multitemporal segmentation approach in optical remote sensing images. |
title_fullStr |
A case study for a multitemporal segmentation approach in optical remote sensing images. |
title_full_unstemmed |
A case study for a multitemporal segmentation approach in optical remote sensing images. |
title_sort |
case study for a multitemporal segmentation approach in optical remote sensing images. |
publishDate |
2018-04-19 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1090733 |
work_keys_str_mv |
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1756024566673571840 |