An Optimized Simplification Method Based on Template Matching for Buildings
There are three kinds of simplification errors in template matching simplification method based on turning function,the template library can't find a suitable simplification template,the template is wrongly selected when calculating the shape similarity,and the simplification results are deviated in position and direction.To solve these problems,an improved template matching simplification method for buildings is proposed in this paper.Firstly,an unbiased similarity measurement model based on turning function is constructed to reduce the measurement error of shape similarity between buildings and templates.Then,the matching process is divided into two stages,including"rough-matching"and"accurate-matching",which reduces the time of template traversing different starting points in similarity measurement,improves the matching efficiency and corrects the template direction at the same time.Finally,aiming at the situation that the simplified area or adjacent area has smaller scale data of buildings,the au-tomatic expansion method of template library is studied to improve the completeness of template library.Through the experimental analysis of real data,it is verified that the method in this paper can keep the main morphological characteristics of buildings and realize simplification at different scales.Compared with existing methods,this method can effectively overcome three kinds of simplification errors,and improve the simplification rate of complex buildings,make the shape coincidence between simplified buildings and templates higher.
万方数据
维普
