Anais Do XVI Workshop De Visão Computacional (WVC 2020) 2020
DOI: 10.5753/wvc.2020.13488
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Classification of UAVs' distorted images using Convolutional Neural Networks

Abstract: Currently, the use of unmanned aerial vehicles (UAVs) is becoming ever more common for acquiring images in precision agriculture, either to identify characteristics of interest or to estimate plantations. However, despite this growth, their processing usually requires specialized techniques and software. During flight, UAVs may undergo some variations, such as wind interference and small altitude variations, which directly influence the captured images. In order to address this problem, we proposed a Convoluti… Show more

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