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Road extraction from aerial images using a region competition algorithm
Miriam Amo1, Fernando Martínez, Margarita Torre
1Department of Applied Mathematics 2, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain. miriam_amo@hotmail.com
Summary
This study introduces a user-guided road extraction method using region competition, accurately identifying road centerlines and sides from images. The approach refines road models for detailed vector information, aiding Geographic Information System data. Keywords: road extraction, region competition, Geographic Information System.
Area of Science:
- Computer Vision
- Geographic Information Science
Background:
- Accurate road extraction is crucial for updating Geographic Information Systems (GIS).
- Existing methods often struggle with detailed road geometry and require significant manual intervention.
Purpose of the Study:
- To present a user-guided method for precise road extraction, including centerlines and boundaries.
- To refine road models for seamless integration into large-scale GIS.
Main Methods:
- A user-guided approach employing the region competition algorithm.
- Initial point analysis and adaptive point addition based on image information.
- Region growing for initial road approximation, refined by region competition.
Main Results:
- Successful extraction of both road centerlines and road sides.
- Generation of simple, detailed vector information without symbolization.
- Accurate recovery of road details directly from image data.
Conclusions:
- The proposed method effectively extracts complex road structures.
- The refined road models provide valuable data for GIS applications.
- User guidance enhances the accuracy and efficiency of road extraction.