Change detection of urban objects using point clouds

Change detection in urban areas requires the comparison of multi-temporal data. In contrast to broad research activities in remote sensing this contribution addresses the topic using 3D data (point clouds) instead of 2D data (images). For further discussion, two strategies in the field building monitoring are presented, which address change detection based on point clouds. The first example deals with change detection on construction sites using a building information model (BIM). The second example uses airborne laser scanning data to discover changes in the built environment.