doi: 10.7763/IJAPM.2012.V2.122
An Optimized Model for Linear Feature Extraction from Satellite Image
Leila Mohammadnia
1
,
- 1 Science and Research Branch, Islamic Azad University .Tehran, Iran
- 2 Department of geomantic engineering, collage of Engineering, University of Tehran, and Tehran, Iran
Abstract
This paper proposes an optimized mathematical model for linear feature extraction from satellite images. The model first uses the Ant Colony Optimization (ACO) to detect the edges from the satellite image. Next the line plausibility map is used as the external energy in a snake model to identify and extract the linear features like roads edges in image. Our approach is validated by a series of tests on satellite images.
Keywords
- Ant colony optimization
- image edge detection
- road
- satellite image
- snake
- line plausibility map
How to Cite
Leila Mohammadnia and Jalal Amini, "An Optimized Model for Linear Feature Extraction from Satellite Image," International Journal of Applied Physics and Mathematics, vol. 2, no. 5, pp. 316-318, 2012. https://doi.org/ 10.7763/IJAPM.2012.V2.122
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).