Direct georeferencing of aerial imagery has the potential to meet escalating demand for image
data sets of increasingly higher temporal and spatial resolution. However, variability in terms
of spatial accuracy within the resulting images may severely limit the use of this technology
with regard to operations involving other data sets. Spatial misalignment between data sets
can be corrected manually; however, an automated solution is preferable given the volume of
data involved.
This research has developed and tested an automated custom solution to the spatial
misalignment between directly georeference aerial thermal imagery and vector data
representing building outlines. The procedure uses geometric matches between image
features and vector objects to relate pixel locations to geographic coordinates. The results
suggest that the concept is valid and capable of significantly improving the spatial accuracy of
directly georeferencing aerial imagery.
| Identifer | oai:union.ndltd.org:canterbury.ac.nz/oai:ir.canterbury.ac.nz:10092/4434 |
| Date | January 2010 |
| Creators | O'Donohue, Daniel Gerard |
| Publisher | University of Canterbury. Geography |
| Source Sets | University of Canterbury |
| Language | English |
| Detected Language | English |
| Type | Electronic thesis or dissertation, Text |
| Rights | Copyright Daniel O'Donohue, http://library.canterbury.ac.nz/thesis/etheses_copyright.shtml |
| Relation | NZCU |
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