Reconhecimento de postes da rede elétrica em vias urbanas em imagens do Google Street View
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2016-11-23
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Universidade Federal de Goiás
Resumo
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.
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LOPES, A. K. Reconhecimento de postes da rede elétrica em vias urbanas em imagens do Google Street View. 2016. 78 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2016.