A semi-automated approach for extracting buildings from QuickBird imagery applied to informal settlement mapping

Authors:
S. D. Mayunga;D. J. Coleman;Y. Zhang
Affiliations:
Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, E3B 5A3, USA;Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, E3B 5A3, USA;Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, E3B 5A3, USA
Venue:
International Journal of Remote Sensing
Year:
2007

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Abstract

Recent advances in sensor technology have promoted the mapping communities to investigate the potential and information contents of recent very high-resolution satellite images. In this paper, we report our new semi-automatic building extraction approach and our first results of mapping informal settlement areas obtained using QuickBird high-resolution images. We implemented our mapping approach using snakes and a radial casting algorithm, and assessed the results both qualitatively and quantitatively and compared them with ground truth data from a similar area. Finally, we summarized the potential and limitations of the second-generation commercial high-resolution satellite images to extract buildings using existing software.