The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1249–1254, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1249-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1249–1254, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1249-2022
 
31 May 2022
31 May 2022

RESEARCH ON THE METHOD OF USING MULTI-SOURCE DATA TO EVALUATE THE QUALITY OF GEOGRAPHICAL NAMES

Y. Xu, J. Zhang, X. Wang, H. Zhao, C. Chen, and W. Mao Y. Xu et al.
  • National Quality Inspection and Testing Center for Surveying and Mapping Products , Number 28 Lianhuachixi Road, 100830 Beijing, China

Keywords: Geographical Names, Multi-Source Data, Confusion Matrix, Weight, Consistence, Quality Evaluation

Abstract. Based on the epidemic situation in recent years, it has become an urgent need to study how to use many open-source or existed geographical names to evaluate the quality of newly produced geographical names. By analysing the quality characteristics of geographical names data, we can find the key quality elements of geographical names data. We obtained a method of using multi-source data to evaluate newly produced geographical names. This method based on adaptive weight distribution of multi-source data. This method can not only evaluate the whole quality of geographical names, but also grade the specific quality of geographical names. The experiment shows that this method is effective and has strong reference for users and producers.