Matching Algorithms and Tactics on Vector Area Data Based on Spatial Directional Similarity
Matching technique is a key to geospatial data integration and fusion. In this paper, spatial directional relationship was described through direction relational matrix, and calculating methods of the spatial directional similarity were discussed. Combining with the matching algorithms of vector area data, some tactics were introduced, which contribute to the accomplishing of many-to-one, many-to-many matching. Matching process based on spatial directional similarity and matching tactics were described. Then a test was taken, using area data of building property and town planning at scale 1： 500. In the test, the spatial directional relation matrix algorithm was taken, and two-steps matching tactics was recommended. Based on the test, a conclusion can be drawn: matching efficiency depends on not only algorithms, but also tactics. Proper tactics can help to accomplish more complex task.
Matching algorithm:Matching tactics:Spatial directional relation:Spatial directional similarity
Li Guo Zhiping Lv Hao Wang Tiejun Cui Bin Zhang
Institution of Surveying and Mapping,Information Engineering University Zhengzhou,450052,China. College of Urban and Enviroment Science,Tianjin Normal University,Tianjin,300384,China
国际会议
The 18th International Conference on Geoinformatics(第18届国际地理信息科学与技术大会 Geoinformatics 2010)
北京
英文
2766-2770
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）