TECHNOLOGICAL FRAMEWORK OF INTELLIGENT MANAGEMENT AND APPLICATION ON GEOGRAPHIC INFORMATION

Ming Li, Shuliang Wang, Ju Bai*, Xiaojia Liu, Chenzhe Wang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

The traditional geographic information management and application mode cannot meet the needs of intelligent management and on demand application of massive multi-source heterogeneous data. Therefore, in this paper, we propose a technical framework of intelligent governance and application of geographic information. This technical framework is intended to realize the transformation of geographic information inspection from complexity to simplicity and stability, data management from isolated island to integration, and data application from single to on-demand. In the process of intelligent management of geographic information, this paper mainly carries out technical research from different links of collection, management, storage and apply, so as to optimize and improve the quality control, state detection, intelligent management and decision-making application of geographic information. The research contents include three parts, including quality intelligent control, multidimensional data management and life cycle intelligent monitoring.

Original languageEnglish
Pages (from-to)377-382
Number of pages6
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume43
Issue numberB4-2022
DOIs
Publication statusPublished - 30 May 2022
Event2022 24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Commission IV - Nice, France
Duration: 6 Jun 202211 Jun 2022

Keywords

  • Geographic Information
  • Intelligent Management
  • Life Cycle Intelligent Monitoring
  • Quality Control

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