THE CLASSIFICATION OF HIGH DIMENSIONAL INDICES FOR SPATIAL DATA SIMILARITY SEARCH
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.
Spatial Database Data Management Digital Photogrammetry Query Processing GIS Similarity Search Metric Space
Yu XIA Xinyan ZHU Chang LI
School of Remote Sensing and Information Engineering, Wuhan University State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan Univ
国际会议
北京
英文
3436-3441
2008-07-03（万方平台首次上网日期，不代表论文的发表时间）