Orthorectifying Historical Imagery Using the Rational Function Model
Ruijin Ma, Ph.D.
Mark P. Kumler, Ph.D.
Historical aerial imagery is a valuable resource for the research community to identify and measure changes on the earth’s surface. Unfortunately, the majority of historical aerial imagery lacks spatial referencing; this lack of spatial reference makes it very challenging to analyze these imagery data within a GIS context. Additionally, geo-referencing images in mountainous areas impose great difficulty due to the relief displacement in images. Ground control points were selected from unreferenced images, DEMs and DOQQs to derive rational function models. The accuracy of the orthorectification is assessed based on the derived rational function models and the resultant orthophotos.
Marrero, W. C. (2012). Orthorectifying Historical Imagery Using the Rational Function Model (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/155