Large-scale spatial data that include both topographic and thematic information are needed to support decision-making and regular land management activities at municipal level. Buildings are one of the main feature classes of interest for a municipality, whose ‘correct’ automatic extraction remained a challenging task, even with the advent of Very-High Resolution (VHR) satellite imagery. Using Lisbon as the case study, this work tests the contribution of the increased spectral resolution of the WorldView-2 sensor for building extraction, in an urban planning context. The methodology is based on automated feature extraction and object-based accuracy assessment. Results show that, while the overall accuracy of extraction is relatively high, it has not increased significantly when the newly-available bands were included.
|Title of host publication||Computational Modelling of Objects Represented in Images: Fundamentals, Methods, and Applications|
|Editors||P.D. Giamberardino, D. Iacoviello, R.M. Natal Jorge, J.M.R.S. Tavares|
|Place of Publication||Roma|
|Publisher||Taylor & Francis Group|
|Publication status||Published - 1 Jan 2012|
Santos , T., & Freire, S. M. C. (2012). Extraction of buildings in heterogeneous urban areas: testing the value of increased spectral information of WorldView-2 imagery. In P. D. Giamberardino, D. Iacoviello, R. M. N. Jorge, & J. M. R. S. Tavares (Eds.), Computational Modelling of Objects Represented in Images: Fundamentals, Methods, and Applications (pp. 175-178). Roma: Taylor & Francis Group.