2018-11-062018-10-03ALMEIDA, Dyego de Oliveira. Métodos de visão computacional aplicados a extração de características de ambientes urbanos em imagens de satélite de baixa resolução. 2018. 84 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2018.http://repositorio.bc.ufg.br/tede/handle/tede/9036The urban growth of the population and the deforestation of greenareas are one of the most critical problems currently in Brazil. Due to mobilization of rural people to the urban, high solar irradiation and the deforestation, the Government is creating sustainable actions sustainable in order to enlarge the green areas and permeable. In this perspective, to promote this mapping effectively in large areas necessary to the use of technologies of recognition of facial features. Low-resolution satellite imagery have low cost and great coverage area coverage, and therefore apply them in identifying features is advantageous over other types of images. However, to accomplish this identification is computationally complex due to the different features present in images of this type. This work proposes an effective method of digital processing of low resolution images in the identification of features, in particular the pertinent green aáreas with average accuracy of 80.5% and detection of buildings with an average accuracy of 63%.application/pdfAcesso AbertoExtração de característicasAmbiente urbanoVisão computacionalÁreas verdesDetecção de edificaçõesIdentificação de telhadosImagens aérea de baixa resoluçãoExtraction of characteristicsUrban environmentComputer visionGreen AreaDetection of buildingsIdentification of roofsLow-resolution aerial imagesCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAODissertação