Direct georeferencing of aerial imagery has the potential to meet escalating demand for imagedata sets of increasingly higher temporal and spatial resolution. However, variability in termsof spatial accuracy within the resulting images may severely limit the use of this technologywith regard to operations involving other data sets. Spatial misalignment between data setscan be corrected manually; however, an automated solution is preferable given the volume ofdata involved.This research has developed and tested an automated custom solution to the spatialmisalignment between directly georeference aerial thermal imagery and vector datarepresenting building outlines. The procedure uses geometric matches between imagefeatures and vector objects to relate pixel locations to geographic coordinates. The resultssuggest that the concept is valid and capable of significantly improving the spatial accuracy ofdirectly georeferencing aerial imagery.
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