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

S.D. Mayunga, D.J. Coleman, Y. Zhang

Research output: Contribution to journalArticle

27 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)2343-2357
Number of pages15
JournalInternational Journal of Remote Sensing
Volume28
Issue number10
DOIs
Publication statusPublished - 2007

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informal settlement
QuickBird
imagery
image resolution
snake
sensor
software
satellite image

Cite this

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A semi-automated approach for extracting buildings from QuickBird imagery applied to informal settlement mapping. / Mayunga, S.D.; Coleman, D.J.; Zhang, Y.

In: International Journal of Remote Sensing, Vol. 28, No. 10, 2007, p. 2343-2357.

Research output: Contribution to journalArticle

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