Rapid texture mapping of buildings is a key aspect for reconstruction of 3D city landscapes. An effective approach by
the way of coarse-to-fine 3D building model generation by integration of LIDAR and multiple overlap images is
proposed. Classification and segmentation can be processed by combined multi-spectral information which is provided
by color aerial image and geometric information from multi-return laser scanned data. A connected graph of the segment
label image has to be created to derive the neighborhood relation of the planar segments. A line segment matching, based
on geometry and chromatic constraint, is applied for automatically getting the corresponding line features in multi target
images. Hypotheses for polyhedral surfaces are selected using topological relations and verified using geometry.