2016-12-162016-11-23LOPES, 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.http://repositorio.bc.ufg.br/tede/handle/tede/6612Urban 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.application/pdfAcesso AbertoPostes da rede elétricaReconhecimentoGoogle Street ViewCaracterísticasCorTexturaFormaPole utilityRecognitionGoogle Street ViewFeaturesColorTextureShapeMutilayer perceptronCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAODissertação