Öz
Evolving software and image acquisition systems have reduced orthophoto production time, positively impacted product quality and reduced production costs. Quality of the orthophoto production process is influenced by the exterior orientation parameters and the digital elevation model. The seamline used in the mosaicking is also affected by the mathematical methods used.It is certain that determining the most accurate mathematical method to be used in seamline production will reduce time in orthophoto production and increase product quality.
In the test area (urban area) determined in this study,mosaic production withobject-based recognition, adaptive feathering, smart seams method and the closest-to-camera-center methods have been realized using images with a ground sampling distance (GSD) of 30 cm and 10 cm. As a result, the most successful results have been obtained using object-based recognition method.