CAJ | 학술논문

分析移动GIS数据加载的实时性、高速要求与移动互联的应用，经过同类算法对比，提出了一种适用于移动GIS环境下高效呈现多层空间的抽稀回溯算法。该算法以改进的非线性抽稀方法为核心，采用动态非线性阀值选取技术，根据数据源类型结合业务数据类型定义多个抽稀基础层，以曲线距离度量、直线拟合等方法进行了二次抽稀、反距离加权插值回溯，并以瓦片数据形式存储，从而减少矢量数据资源计算，提升加载速度。实验表明，多层空间非线性抽稀回溯算法可行。
분석이동GIS수거가재적실시성、고속요구여이동호련적응용，경과동류산법대비，제출료일충괄용우이동GIS배경하고효정현다층공간적추희회소산법。해산법이개진적비선성추희방법위핵심，채용동태비선성벌치선취기술，근거수거원류형결합업무수거류형정의다개추희기출층，이곡선거리도량、직선의합등방법진행료이차추희、반거리가권삽치회소，병이와편수거형식존저，종이감소시량수거자원계산，제승가재속도。실험표명，다층공간비선성추희회소산법가행。
This paper proposes an algorithm of nonlinear thinning -backtracking on multilayer which applies to the mobile GIS, after analyzing the timeliness of mobile GIS data loading , the application of high -speed re-quirements and mobile internet , and by comparing with the similar algorithms .The core of the algorithm is the im-proved method on nonlinear thinning -backtracking , using the dynamic nonlinear threshold selection technique .It defines some basic layers of thinning according to the types of data source and business data , and then vacuates a second time by measurement on distance curvilinear and the straight line fitting .Thirdly, it backtracks according to the inverse distance weighted interpolation .Finally, it stores as the tile data, which can reduce computing vector data and improve the loading speed .The experiment proves the feasibility of the algorithm of nonlinear thinning -backtracking on multilayer .