Other
Scientific paper
Nov 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000spie.4123..142p&link_type=abstract
Proc. SPIE Vol. 4123, p. 142-149, Image Reconstruction from Incomplete Data, Michael A. Fiddy; Rick P. Millane; Eds.
Other
Scientific paper
When imaging the ground from the air, distortions can occur if the imagery was created form an electro-optical line scanner pointing to nadir and mounted on the bottom of an airborne platform. The inability of the aircraft to maintain a perfect trajectory can cause the distortions. In the worst case scenario, camera stabilizers fail, no geographical reference or navigation data is available, and the sensor periodically fails leaving incomplete data for image construction. Motion compensation can restore the images. This paper describes various distortions that can be created for an airborne nadir-aimed line scanner. A motion-compensation technique is introduced that combines multiple cues from geographical reference and navigation data as well as line-scan matched filtering. A semi- automated restoration implementation is introduced followed by the automated line-scan matched filter implementation. These various compensation techniques provide backup for each other thus creating a more efficient motion- compensation system. Even in the worst case scenario, the system continues to attempt motion compensation using an optimal line-scan matched filtering technique. The results of using this automated technique for motion compensation is demonstrated using simulated high-definition imagery and then using actual electro-optical and hyperspectral images that were obtained form the Dynamic Data Base (DDB) program sponsored by the Defense Advanced Research Projects Agency (DARPA).
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