TECHNOLOGICAL FRAMEWORK OF INTELLIGENT MANAGEMENT AND APPLICATION ON GEOGRAPHIC INFORMATION
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.
- Location
 - 
                Deutsche Nationalbibliothek Frankfurt am Main
 
- Extent
 - 
                Online-Ressource
 
- Language
 - 
                Englisch
 
- Bibliographic citation
 - 
                TECHNOLOGICAL FRAMEWORK OF INTELLIGENT MANAGEMENT AND APPLICATION ON GEOGRAPHIC INFORMATION ; volume:XLIII-B4-2022 ; year:2022 ; pages:377-382 ; extent:6
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLIII-B4-2022 (2022), 377-382 (gesamt 6)
 
- Classification
 - 
                Geografie, Reisen
 
- Creator
 - 
                Li, M.
Wang, S.
Bai, J.
Liu, X.
Wang, C.
 
- DOI
 - 
                
                    
                        10.5194/isprs-archives-XLIII-B4-2022-377-2022
 
- URN
 - 
                
                    
                        urn:nbn:de:101:1-2022060905240592425915
 
- Rights
 - 
                
                    
                        Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
 
- Last update
 - 
                
                    
                        15.08.2025, 7:30 AM CEST
 
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Li, M.
 - Wang, S.
 - Bai, J.
 - Liu, X.
 - Wang, C.