We present a new change detection approach with focus on individual buildings.
It is capable of handling VHR remote sensing images acquired by different sensors.
Deviating viewing geometries of VHR data affect the approach only slightly.
PCA of object-based difference features is followed by k-means clustering.
Viable and robust results are achieved in the order of κ statistics of 0.8–0.9.