Identificação e estimativa da altura de árvores em imagens de satélite e do Google Street View

• Autor(a) principal: Lima, Heuber Gustavo Frazao de
• Data de Publicação: 2016
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/6768
• topic: Reconhecimento de padrões; Visão computacional; Identificação de árvores; Pattern recognition; Computational vision; Trees identification; CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

The electrical distribution is a critical activity since many people depend of this service. Faults in the distribution system occur from several factors that can damage the system and therefore interrupt the supply of energy. Among the various factors that may cause problems this work proposes a automatic detection of trees near or even in the distribution network. In order to avoid that the trees to force or even rupture of the distribution cables, are made the pruning of the trees that have some kind of risk to the network. However, this activity is usually manual and teams must sift through all the network for problems. The main objective of this work is to propose a process, based on computer vision, which allows the automated identification of nearby trees or under the power distribution network from aerial images provided by Google Earth and even estimate the height of the same from 2D Google Street View images.