Artificial Perception Laboratory |
ENV #19: Extraction of Features from Remote-Sensed Imagery
|
PROBLEM
The development of synthetic vision systems for search and rescue
applications allow helicopter pilots to fly under low-visibility
conditions. However, the actual databases are generated manually and
their accuracy is not known. In order to use this system across
Canada, some automated methods are needed to generate complete and
accurate topographic databases from multiple sources of remote-sensed
data.
This Geoide project is a collaboration of researchers from McGill University, Laval University, York University, University of Waterloo, University of British Columbia and Crestech.
The members of the
Artificial Perception Laboratory participating in this project are:
Prof. Frank P. Ferrie
Philippe Simard (Ph.D. student)
Isabelle Bégin
(Ph.D. student)
Poster presentation
Simard, P., Bégin, I., Soucy, G., Ferrie, F.P., "A
Probabilistic Framework for Automatic Terrestrial Feature Extraction
from Remote-Sensed Imagery", Proceedings of the Second Geoide
Annual Meeting, Calgary (Alberta), May 2000.
Poster (pdf)
Future projects