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

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

doi:10.1080/01431160600868474

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 journal › Article › peer-review

30 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 language	English
Pages (from-to)	2343-2357
Number of pages	15
Journal	International Journal of Remote Sensing
Volume	28
Issue number	10
DOIs	https://doi.org/10.1080/01431160600868474
Publication status	Published - 2007

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

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