Adaptive Integration Modeling Of DEM And Vector Data Based On Spherical DQG Framework

The integration of vector data and terrain is the useful means to restore the actual spatialfeatures. With the development of the measurement techniques for massive geospatial data andapplication at large-scale (even global-scale), it is very important to go deep into exploring theintegration of vector data and terrain based on Discrete Global Grid (DGG). To overcome theserious deficiency of the complex interpolation calculation and low efficiency of geometry-basedapproach, according to the idea of DQG cell decomposition, an adaptive integration model ofvector polyline and global DEM data based on the spherical Degenerate Quadtree Grid (DQG) isrepresented is presented. The primary contents include as following, the principal of the adaptiveintegration model based on DQG cell decomposition, the directed search algorithm for DQG cells,geometry-based algorithm based on directed search,3-D drift algorithm and vertical algorithm forpolyline. A prototype system for adaptive integration of multi-type data is developed. GTOPO30,ASTER GDEM, DCW roads datasets and GADM V1administrative boundary data are used inexperiments to validate and demonstrate the correctness and feasibility of the proposed driftalgorithms, and the comprehensive quantitative analysis on the efficiency and drift error is alsocarried out.