Studies related to computer vision involving three-dimensional reconstruction are currently increasing and demonstrate the importance of the area that is a subdomain of photogram- metry. Applications with UAVs (Unmanned Aerial Vehicles) for terrain mapping using photogrammetry to create three-dimensional environments facilitate structural analyzes and make it possible to obtain topographic information from captured land surfaces, using modern methodologies applicable in both civil and military areas. The subject has relevance, because due to the characteristics of photogrammetry with UAVs, they provide easy access, precision and savings in mission time and in equipment. This dissertation aims to develop three-dimensional reconstruction using aerial images in different environments. During the study, experiments were carried out with aircraft in external and internal envi- ronments, after the acquisition of aerial images, reconstruction was performed using three specific photogrammetry software, two of them commercial and one free software, followed by a qualitative evaluation of the results. Concluded with indications of improvements and future work for research related to artificial intelligence techniques.