ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-3-2022
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 619–625, 2022
https://doi.org/10.5194/isprs-annals-V-3-2022-619-2022
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 619–625, 2022
https://doi.org/10.5194/isprs-annals-V-3-2022-619-2022
 
17 May 2022
17 May 2022

RESEARCH ON QUALITY TESTING AND EVALUATION TECHNOLOGY OF FUNDAMENTAL GEOGRAPHIC INFORMATION DATABASE SYSTEM

H. Zhang1,2, Y. Shang2, X. Tong1, J. Chen3, W. Ma2, M. Li2, Y. Lu1,2, and H. Chen2 H. Zhang et al.
  • 1School of Surveying and Geo-Informatics, Tongji University, Shanghai, China
  • 2National Quality Inspection and Testing Center For Surveying and Mapping Products, Beijing, China
  • 3Zhejiang Institute of Hydraulics and Estuary, Zhejiang, China

Keywords: Geographic information, Database, Quality model, Quality Test, Quality Evaluation

Abstract. The extensive application of fundamental geographic information data in various industries makes it play an increasingly important role in national economic construction and social development. As a fundamental geographic information database construction project with data and database management system as its core, quality testing and evaluation is the key link and means for measuring database suitability and system application success or failure. This paper proposes a set of fundamental geographic information database system quality model, conducts research on quality testing techniques and methods, and establishes a quality evaluation system, which has been applied in national and provincial basic geographic information database systems.