Reconhecimento de postes da rede elétrica em vias urbanas em imagens do Google Street View

• Autor(a) principal: Lopes, Allan Kardec
• 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/6612
• topic: Postes da rede elétrica; Reconhecimento; Google Street View; Características; Cor; Textura; Forma; Pole utility; Recognition; Google Street View; Features; Color; Texture; Shape; Mutilayer perceptron; CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

Urban environments, such as streets, roads and buildings, always require management and maintenance to better use. In this sense, computational tools to assist their managers are always desirable. Furthermore, these tools generally decrease spending in order to automate several tasks. This research presents an approach to recognition of pole utility in streets mapped by images from Google Street View. Features such as color, texture and shape were examined in order to find the best set of information that represents the objects of interest. The recognition was performed by a neural network type Multilayer Perceptron trained with the Levenberg-Marquardt algorithm. The results show a higher accuracy in recognition when used in combination, mode RGB and texture properties as features to represent the structures present in the images.