Study On Automatic Selection And Simplification Of River Network Considering Spatial Characteristics

Map mapping with the support of information technology,Map automatic synthesis has also been further advanced.The main research content of this paper is the synthesis of river.After reading and studying literature on river network synthesis,To carry out the study of this article,The main contents of this paper include the following aspects:(1)The narrow length factor is proposed to increase the constraint condition of the single line of the double line river,And proposed a single line of river semantic repair method.In the existing river system tree research,in-depth study of the natural river network backbone search.To complete the selection of the natural river network,and through experimental comparison to verify the rationality of river selection results.(2)Aiming at the current situation of artificial river network selection,the comprehensive method of urban road stroke.Proposed a method based on stroke artificial river network selection,Construction of River Rivers on Artificial River Network,And the river stroke to establish a dual graph,Evaluation and selection of river stroke using network analysis.Finally,the experimental comparison show that the river selection results are rational.(3)In the study of natural line element simplification,in actual production,having the original features on the natural line elements,requirements for non-feature region simplification.In this paper,Research on a line simplification algorithm taking account of spatial features.(4)After the selection and simplification of the river network,River network synthesis also contains river flow symbol.The current river flow symbol or artificial identification in the process of mapping.This article in this regard with the actual work to carry out research.This paper presents a method for automatic identification of river flow symbols,and the experiment shows that the feasibility of the method and the correctness of the results.The above theoretical methods are based on Visual Studio software based on the NewMap platform using C ++.