首页    期刊浏览 2024年05月20日 星期一
登录注册

文章基本信息

  • 标题:The Study for Matching Algorithms and Matching Tactics about Area Vector Data Based on Spatial Directional Similarity
  • 本地全文:下载
  • 作者:Li Guo ; Zhiping Lv ; Bin Zhang
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2010
  • 卷号:XXXVIII - Part 2
  • 页码:395-399
  • 出版社:Copernicus Publications
  • 摘要:The matching technique is the key to geospatial data integration and fusion. In this paper, we describe spatial directional relation through direction relational matrix, and discuss calculation methods of the spatial directional similarity. Combining with the area vector data matching algorithms, we introduce some matching tactics, which contribute to accomplish many-to-one, many-to-many matching. We describe matching process based on spatial directional similarity and matching tactics. Then we take a test, using building property area data and town planning area data at a scale of 1:500. In the test, we take the spatial directional relation matrix algorithm, and adopt two-steps matching tactics. Based on the test, we draw a conclusion: matching efficiency depends on not only algorithms, but also tactics. Proper tactics can help us accomplish more complex task
  • 关键词:matching algorithm; matching tactics; data matching; data fusion; spatial directional relation; spatial directional ; similarity
国家哲学社会科学文献中心版权所有