In recent times, there has been a noticeable increase in the occurrence of various natural disasters in South Korea. In this regard, various research about rapid monitoring and responses using drone images have been carried out. In this study, we aime...
In recent times, there has been a noticeable increase in the occurrence of various natural disasters in South Korea. In this regard, various research about rapid monitoring and responses using drone images have been carried out. In this study, we aimed to analyze how the internal camera parameters affect on the accuracy level of reconstructed 3D surfaces when using direct geo-referencing approach. We generated simulation data and intentionally incorporated biases in internal camera parameters when creating 3D terrain data. Afterwards, we performed accuracy analysis, confirming that the biases on the position of the perspective center directly affect on the terrain error. Additionally, we found that the focal length is inversely proportional to the error amount. To experimentally confirm these findings, we conducted RMSE (Root Mean Square Error) analysis and explained the underlying geometric reasons for the results.