Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1090733
Research center of Embrapa/Collection: Embrapa Solos - Artigo em anais de congresso (ALICE)
Issue Date: 2018
Type of Material: Artigo em anais de congresso (ALICE)
Authors: COSTA, W.
FONSECA, L.
KÖRTING, T.
SIMÕES, M.
KUCHLER, P.
Additional Information: WANDERSON COSTA, INPE; LEILA FONSECA, INPE; THALES KÖRTING, INPE; MARGARETH GONCALVES SIMOES, CNPS; PATRICK KUCHLER, UERJ; CIRAD.
Title: A case study for a multitemporal segmentation approach in optical remote sensing images.
Publisher: In: INTERNATIONAL CONFERENCE ON ADVANCED GEOGRAPHIC INFORMATION SYSTEMS, APPLICATIONS, AND SERVICES, 10., 2018, Rome. Proceedings... Haifa: Israel Institute of Technology, 2018. p. 66-70.
Language: en
Notes: GEOProcessing 2018.
Keywords: Segmentação multitemporal
Dynamic Time Warping
Processamento de imagem
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.
Thesagro: Sistema de informação geográfica
Sensoriamento remoto
Year: 2018-04-19
Appears in Collections:Artigo em anais de congresso (CNPS)

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