Classification based building detection from GeoEye-1 images

High-resolution satellite imagery is being increasingly employed for large-scale topographic mapping, and especially for updating spatial databases. GeoEye-1 is one of the latest in a series of commercial high-resolution earth observation satellites. The paper presents a method for building detection from GeoEye-1 imagery. The initial building mask was created with supervised classification based on the object approach. In the next steps the building mask was enhanced employing, unsupervised classification and region growing. The final results of the building detection are evaluated.