Abstract:

Airborne laser scan technique is able to acquire the three dimensional geographic information of areas and objects on the ground quickly with the form of point clouds. Based on LiDAR data and topographic information of objects, the model of building can be determined. We classify the point clouds into terrain and off-terrain points based on region segment polynomial approximation and the least squares adjustment, and then extract edge of building with the method of RANSAC and topographic knowledge. The experiment result shows that this method can delete noisy points and preserve feature points efficiently which the total error rate is less than 3%.

Key words: objects recognition, least squares approximations, point clouds, building edge extraction