Title :
A novel approach for polygonal rooftop detection in satellite/aerial imageries
Author :
Nosrati, Masoud S. ; Saeedi, Parvaneh
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
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.
Keywords :
computational geometry; feature extraction; geographic information systems; object detection; remote sensing; Google Earth; aerial imageries; automatic polygonal rooftop extraction; graph representation; line intersections; polygonal rooftop detection; satellite imageries; Buildings; Data mining; Detectors; Earth; Image edge detection; Military satellites; Object oriented modeling; Shape; Solid modeling; Urban areas; 3D map generation; Building extraction; polygonal building models; satellite imagery;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413641
