A novel approach for polygonal rooftop detection in satellite/aerial imageries

Authors:
Masoud S. Nosrati;Parvaneh Saeedi
Affiliations:
School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada;School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 2
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Abstract

This paper presents a new solution for automatic polygonal rooftop extraction (with no angular constraint) in satellite/ aerial imageries based on line intersections. The proposed approach uses edge definitions and their relationships with each other to create a set of potential vertices. Using a graph representation, the relationship between potential vertices are studied in an efficient way. Polygonal rooftops correspond to closed loops in this graph. The experimental results for images acquired from Google Earth show that this solution has a high precision in detecting polygonal rooftops.