ARaster:Relation-Vector:EntityIntegrated Approach for Spatial Geographic Feature Retrieve
Since vector approach can be applied for accurate geo-processing,while raster approach is suitable for spatial analysis,the integration of raster and vector approaches has been studied for years.For spatial analysis,data mining or other geoprocessing,it is often necessary to retrieve the entities in GIS databases frequently.However,due to lacking of the description of spatial relations among the entities in current studies,these retrievals are severely time-consuming.This paper is to promote an integrated approach for geographic feature retrieve in a mechanism called raster:relation-vector:entity method concerning both the process speed and information maintenance.Firstly,a dimension-plus relational raster is designed for keeping all the identity information of the original spatial object based on object-oriented data model.dimension-plus means one more dimension is employed to store more information.Then scanning technique is developed for detecting the relations of the spatial objects in this new raster.Topological information is observed in a foreseeable raster index time.Finally topological information is transferred to vector organization and complex geometric objects can be reconstructed using vector data with minimal time consumption.This research realizes the recognition and the rebuild of spatial entities that are described in spatial shape,layer identity and the individual characteristics (e.g.Color and style) of each entity in the map of.dwg format,both of the geometric information and semantic information are kept well in the retrieve process.
Raster Matrix Vector Object Identity Feature Retrieve GIS
Lina Huang Lifan Fei Bin Zheng
School of Resource and Environmental Science,Wuhan University/129,Luoyu Road,Wuhan,Hubei,China 430079
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）