Position accuracy assessment of Göktürk-2 satellite images by using Rational Function Model

Examination of geographical position accuracy of Göktürk-2 satellite images by using RFM (Rational Function Model) is the main objective of this work. In order to work in condition of no altitude data, polynomial model has been preferred. Translation model between image coordinates and geographical coordinates has been developed and position accuracy of the model has compared with Göktürk-2 Level 2 image processing level product. According to test of the models with collected GCP's (Ground Control Point), we had calculated 4.83 pixel RMS (Root Mean Square) error in line, 8.51 pixel RMS error in column; model generated by satellite parameters has given us 8.93 pixel RMS (Root Mean Square) error in line, 13.88 pixel RMS error in column.