Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1082573
Research center of Embrapa/Collection: Embrapa Solos - Artigo em anais de congresso (ALICE)
Date Issued: 2017
Type of Material: Artigo em anais de congresso (ALICE)
Authors: COSTA, W. S.
FONSECA, L. M. G.
KÖRTING, T. S.
SIMÕES, M.
BENDINI, H. N.
SOUZA, R. C. M.
Additional Information: 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.
Title: Segmentation of optical remote sensing images for detecting homogeneous regions in space and time.
Publisher: In: BRAZILIAN SYMPOSIUM ON GEOINFORMATICS, 18., 2017, Salvador. Proceedings... Salvador: Unifacs, 2017. p 40-51.
Language: en
Notes: 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.
Keywords: Séries temporais
MODIS.
Description: 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.
Thesagro: Sensoriamento Remoto.
NAL Thesaurus: Landsat
Remote sensing.
Data Created: 2017-12-14
Appears in Collections:Artigo em anais de congresso (CNPS)

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