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.
Mayunga, S. D., Coleman, D. J., & Zhang, Y. (2007). A semi-automated approach for extracting buildings from QuickBird imagery applied to informal settlement mapping. International Journal of Remote Sensing, 28(10), 2343-2357. https://doi.org/10.1080/01431160600868474