Refinamento de Imagens de Satélite: Uma Abordagem de Super-Resolução para Preparação de Datasets

Abstract

This work investigates the use of super-resolution techniques on images captured by Unmanned Aerial Vehicles (UAVs), with the aim of artificially enhancing the spatial resolution through artificial intelligence algorithms. The proposal seeks to explore state-of-the-art methodologies to overcome limitations in image quality, facilitating their application in tasks such as environmental monitoring, urban mapping, and agricultural analysis. The results obtained demonstrate the potential of super-resolution to improve the quality of datasets, contributing to the application of computer vision in scenarios that require high precision in the identification of objects and small features.