Title :
RoadFinder Front End: an automated road extraction system
Author :
Tesser, Herbert ; Pavlidis, Theo
Author_Institution :
Dept. of Inf. Technol. & Eng., Marshall Univ., USA
Abstract :
We present the RoadFinder Front End (RFFE), a fully automated system that identifies lines of communications (roads) in high altitude imagery. The system combines an effective road seed generator, a behavioral model, and an efficient mechanism for connecting the road seeds. The model associates a cost to filling gaps, turns and inflections in the roads. RFFE is demonstrated using several image sensor types
Keywords :
feature extraction; image recognition; image registration; image segmentation; RoadFinder Front End; automated road extraction system; behavioral model; gaps; high altitude imagery; inflections; lines of communications; road seed generator; turns; Costs; Data mining; Filling; Force control; Gray-scale; Image segmentation; Image sensors; Information technology; Roads; Testing;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.905347
