Quantitative and qualitative information
about land-use and buildings are important for spatial
planning decision processes. The presented study
determines the suitability of multispectral information
and stereo-derived heights of Pléiades tri-stereoscopic
satellite imagery to identify building footprints. The
study area is the Nyarugenge sector of the City of Kigali.
A Pléiades satellite scene was used to process a digital
surface model. An object-based image analysis provided
the basic geometries and respective variables, which
served as input features for a Support Vector Machine
based classification. The comparison of the building
footprints with ground reference information indicates a
high accuracy.