Data/hora: 21/06/2024 19:03:43

Biblioteca(s): | Embrapa Solos.
Data corrente: | 14/12/2017
Data da última atualização: | 10/11/2021
Autoria: | COSTA, W. S.; FONSECA, L. M. G.; KÖRTING, T. S.; SIMÕES, M.; BENDINI, H. N.; SOUZA, R. C. M.
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.
Título: | Segmentation of optical remote sensing images for detecting homogeneous regions in space and time.
Ano de publicação: | 2017
Fonte/Imprenta: | In: BRAZILIAN SYMPOSIUM ON GEOINFORMATICS, 18., 2017, Salvador. Proceedings... Salvador: Unifacs, 2017. p 40-51.
Idioma: | Inglês
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.
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.
Palavras-Chave: | MODIS; Séries temporais.
Thesagro: | Sensoriamento Remoto.
Thesaurus Nal: | Landsat; Remote sensing.
Categoria do assunto: | P Recursos Naturais, Ciências Ambientais e da Terra
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/169028/1/2017-081.pdf
Registro original: | Embrapa Solos (CNPS)
Exemplares: | CNPS - (19734-1) - UPC - AA - DD -  -  - 2017.00293 - DIS