Building extraction from multiple images and LIDAR data

This paper investigate into semi-automatic building recognition in urban area with laser scanned data (LIDAR) and multiple overlap images. Three image sequences, two oblique photography to buildings' walls and one vertical photography to building's roof, and DSM from LIDAR data are used as sources of information. Classification and segmentation can be processed by combined multi-spectral information which is provided by color aerial image and geometric information from a laser scanned DSM . A line segment matching, based on geometry and chromatic constraint, is applied for automatically getting the corresponding line features in multi target images. We also discuss the approach to group 3-D segment into planes and verification of 3D building hypothesis.