A description is given of research in digital mapping and image understanding in the area of automated feature extraction from aerial imagery. The authors discuss a system for road tracking, ARF (A Road Follower), that uses multiple cooperative methods for extracting information about road location and structure from complex aerial imagery. This system is a multilevel architecture for image analysis that follows for cooperation among low-level processes and aggregation of information by high-level analysis components. Two low-level road tracking methods have been implemented: road-surface texture correlation and road-edge following. Each works independently to establish a model of the centerline of the road, its width, and other local properties.
Cooperative methods for road tracking in aerial imagery
Kooperative Verfahren der Strassenverfolgung aus Luftbildaufnahmen
1988
11 Seiten, 14 Quellen
Aufsatz (Konferenz)
Englisch
Road Tracking and Anomaly Detection in Aerial Imagery
NTIS | 1978
|COCOA: tracking in aerial imagery
SPIE | 2006
|