Automatic cartographic generalization for urban buildings based on least squares adjustment

摘要

It is difficult to carry out the automatic cartographic generalization of urban buildings, because of their complex shape. An algorithm and some constraints for generalization using Least Squares Adjustment theory are presented, with analyzing the procedure of generalization for urban buildings under multi-scale environment. Automatic generalization for building polygons can be carried out in the algebra way, with building the automatic generalization adjustment model including simplification, aggregation, displacement and symbolization. The practice shows that the object shape is represented perfectly by the algorithm, with providing a basis for evaluation on results of generalization, which improves the procedure of automatic generalization in scientific and feasibility.