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

fYear

2009

fDate

7-10 Nov. 2009

Firstpage

1709

Lastpage

1712

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2009 16th IEEE International Conference on

Conference_Location

Cairo

ISSN

1522-4880

Print_ISBN

978-1-4244-5653-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2009.5413641

Filename

5413641