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文章基本信息

  • 标题:The Classification and Performance Comparison Analysis of High Dimensional Indices for Feature-Based Spatial Data Similarity Search
  • 本地全文:下载
  • 作者:Yu XIA ; Xinyan ZHU ; Chang LI
  • 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:2008
  • 卷号:XXXVII Part B4
  • 页码:109-114
  • 出版社:Copernicus Publications
  • 摘要:The applications of spatial data similarity search are increasingly needed nowadays, and accordingly high dimensional index becomes one key technology to solve the problem of spatial data similarity search. Firstly, the distribution of high dimensional data is in-depth analyzed, and then high dimensional data retrieval for spatial data similarity search is also discussed. Secondly, based on the research, the classification of high dimensional indices for spatial data similarity search is presented, which initially makes a clear distinction of the relationship between the high dimensional index and the application of spatial data similarity search. Finally, the principle of high dimensional indices and the state of the applications in spatial data similarity search are analyzed with an example of typical index structure respectively, which lays a foundation for the research on index technology in spatial data similarity search
  • 关键词:Spatial Database; Data Management; Digital Photogrammetry; Query Processing; GIS; Similarity Search; Metric ; Space
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