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Fusão Hierárquica de Medidas de Textura e Níveis de Descontinuidade para Extração de Estradas em Imagens de Satélite de Alta Resolução

José Oniram de Aquino Limaverde FilhoDíbio Leandro BorgesOsmar Abílio de Carvalho Junior

Automatic object detection in satellite images is still an unsolved problem that many researchers are trying to address. In this context road detection is of particular importance for transportation and environmental applications. In this paper we propose a novel algorithm for detection roads in high resolution pancromatic imagery. It first detects and labels five levels of discontinuities in the images, and using the same original images fractal dimension and homogeneity measures of texture are computed. Those information are then fused in order for having a set of hypotheses of the pixels being actually roads. Results are presented showing roads detected in ALOS images of a region in Brazil.

http://www.lbd.dcc.ufmg.br/colecoes/wvc/2009/001.pdf

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