%0 Conference Proceedings
%4 sid.inpe.br/mtc-m16c/2017/12.01.19.11
%2 sid.inpe.br/mtc-m16c/2017/12.01.19.11.33
%@issn 2179-4820
%T Segmentation of optical remote sensing images for detecting homogeneous regions in space and time
%D 2017
%A Costa, Wanderson S.,
%A Fonseca, Leila M. G.,
%A Korting, Thales S.,
%A Simões, Margareth G.,
%A Bendini, Hugo N.,
%A Souza, Ricardo Cartaxo M.,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%E Davis Jr., Clodoveu A. (UFMG),
%E Queiroz, Gilberto R. de (INPE),
%B Simpósio Brasileiro de Geoinformática, 18 (GEOINFO)
%C Salvador
%8 04-06 dez. 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 40-51
%S Anais
%X With the amount of multitemporal and multiresolution images grow- ing 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 tempo- ral 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 consider- ing 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.
%@language pt
%3 5costa_souza.pdf