ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLIII-B3-2022-1249-2022 RESEARCH ON THE METHOD OF USING MULTI-SOURCE DATA TO EVALUATE THE QUALITY OF GEOGRAPHICAL NAMES Xu Y. 1 Zhang J. 1 Wang X. 1 Zhao H. 1 Chen C. 1 Mao W. 1 National Quality Inspection and Testing Center for Surveying and Mapping Products , Number 28 Lianhuachixi Road, 100830 Beijing, China 31 05 2022 XLIII-B3-2022 1249 1254 Copyright: © 2022 Y. Xu et al. 2022 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/XLIII-B3-2022/1249/2022/isprs-archives-XLIII-B3-2022-1249-2022.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLIII-B3-2022/1249/2022/isprs-archives-XLIII-B3-2022-1249-2022.pdf

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.