ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-3-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 265–269, 2021
https://doi.org/10.5194/isprs-annals-V-3-2021-265-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 265–269, 2021
https://doi.org/10.5194/isprs-annals-V-3-2021-265-2021

  17 Jun 2021

17 Jun 2021

RESEARCH ON QUALITY CONTROL METHOD OF LAND COVER CLASSIFICATION DATA ORIENTED TO NATIONAL GEOGRAPHIC CONDITION MONITORING

W. J. Mao, H. T. Zhao, W. C. Gao, H. J. Tu, and Y. M. Xu W. J. Mao et al.
  • National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, China

Keywords: Land Cover Classification Data, National Geographical Condition Monitoring, Quality control

Abstract. Aiming at the quality problems of the land cover classification data, such as missing update of changed spots, overrun of spot collection accuracy, incorrect spot classification, and inconsistencies between the filling of the change types of map spots and technical regulations, had been found during the quality inspection of the national geographic condition monitoring in China. This paper analyzed the key production factors, processes and causes that affect the process quality of the land cover classification data, and proposed the concept of the whole production quality control, and discussed the quality control measures to improve the land cover classification product. The research based on the new requirements of the whole-process quality control system in order to solve the quality problem-oriented production quality control method, could improve the quality of land cover classification product and provided reference for the quality control of the production process of related engineering projects in the future.