AUTOMATED REGISTRATION WITH HIGH TO MEDIUM RESOLUTION SATELLITE DATA

ABSTRACT: This is an ongoing engineering need for precise geodetic measurements. Recent measurements could not precisely predict the failure events of civic structures and ground position of specific locations. Precise measurement could be an interesting field of study for geodetic surveyors and researchers. There are many applications which require highly accurate ( ± 0.25 meters) measurements for geodetic surveying even though precision measurement techniques are still at the research stage. By applying the method of least squares it is possible to match two images precisely using a predefined template function. Consequently, image to image geometric correction could be conducted to fetch registered output image products. The registration could be done from high resolution satellite data (IKONOS) to medium resolution satellite data (ASTER) or from high resolution to high resolution satellite data (ALOS). In the present research, rational polynomial coefficient (RPC) orthorectification with digital Surface model (DSM) and least squares image matching technique were assembled. The developed numerical algorithm will be resembled to automatic and robotic. Finally, an advanced and precise application system was developed. This process had very good output with the total residual error of 0.06 pixel in high to medium resolution satellite data registration. This advanced application will be applicable in the field of engineering and social management. In addition, recent research trends on this topic are examined and evaluated. Future directions for research are suggested in the last section of this paper