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Extraction of Features from Remote-Sensed Imagery for a Search and Rescue Synthetic Vision Database

The generation of synthetic displays for the SVS application described above relies to a large extent on the availability of annotated remote sensing databases for the regions over which the aircraft will fly. Correct localization of features, e.g., location of hydro pylons, transmission lines, height of tree canopies, mountains, etc., translates directly into higher degrees of certainty in the planning of flight paths and escape routes. The sheer volume of data arising from both geographic scale and the need for timely updates poses a considerable challenge.

This project, part of the GEOID national centre of excellence, is aimed at the development of new algorithms capable of extracting these features automatically and to higher degrees of accuracy by exploiting new developments in image analysis and understanding. We are currently investigating the use of sequential estimation techniques developed earlier for object recognition as a basis for recognizing terrestrial features, given registered images at different wavelengths and from potentially multiple sources. Another part of this project deals with the problem of actually generating the synthetic view from the data available in the remote sensing database.

P. Simard, F.P. Ferrie, D, Clausi (Waterloo), J. Elder (York), P. Sheppard (CRESTech)

Annual Report

Mon Jun 26 21:22:20 GMT 2000