Abstract
Orthorectifying Historical Aerial Images Using the Rational Function Model
Track: Imagery and Raster
Authors: Wilmarie Cruz-Marrero
This project develops a method using the rational function model to orthorectify historical aerial images without using rigorous camera models that will be implemented using ArcGIS 10. 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 are selected from DEMs and DOQQs to derive rational function models. The accuracy of the orthorectification is assessed based on the derived rational function models and the produced orthophotos.