Advance and future development of the multi-scale spatial data linkage updating

被引:0
|
作者
Zhang X. [1 ]
He X. [2 ]
Sun Y. [3 ]
Huang J. [4 ]
Zhang Z. [5 ]
机构
[1] School of Geography and Remote Sensing, Guangzhou University, Guangzhou
[2] Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning
[3] School of Geography and Planning, Sun Yat-sen University, Guangzhou
[4] School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai
[5] College of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou
基金
中国国家自然科学基金;
关键词
linkage updating; map generalization; matching of spatial data; multi-scale spatial data; updating information detection;
D O I
10.11947/j.AGCS.2022.20220095
中图分类号
学科分类号
摘要
Multi-scale spatial database is an important basis for administrative decision-making and planning at all levels of national economic construction, and also plays a key role in smart city and national defense construction. The current situation of data is related to the operation efficiency of database, and multi-scale spatial data linkage updating provides important technical support.With the development of artificial intelligence, geospatial big data and comprehensive intelligence of maps, many achievements have been made in the linkage updating of spatial data, though it also faces many challenges. Firstly, the research progress of linkage updating is described in terms of updating strategy, matching method, change information detection and updating information transmission of multi-scale spatial data. Secondly, the application of artificial intelligence technology in each stage of the linkage updating process is analyzed. Finally, combining with automatic maps generalization and the background of geospatial big data, the development trend of linkage updating in multi-scale spatial data is discussed. © 2022 SinoMaps Press. All rights reserved.
引用
收藏
页码:1520 / 1535
页数:15
相关论文
共 137 条
  • [1] DENG Xiangzheng, HUANG Jikun, ROZELLE S, Et al., Impact of urbanization on cultivated land changes in China[J], Land Use Policy, 45, pp. 1-7, (2015)
  • [2] KILPELAINEN T, SARJAKOSKI T., Incremental generalization for multiple representations of geographical objects, GIS and Generalization, (1995)
  • [3] Deren LI, On the role of the digital province or/and city in the territorial planning and construction of the city and town[J], Acta Geodaetica et Cartographica Sinica, 31, pp. 16-21, (2002)
  • [4] ZHANG Xinchang, ZHANG Zhiqiang, SUN Ying, Et al., Research on multi-scale spatial data linkage updating technology based on pattern recognition[J], Science of Surveying and Mapping, 44, 1, pp. 66-72, (2019)
  • [5] FAN Y T, YANG J Y, ZHANG C, Et al., A event-based change detection method of cadastral database incremental updating[J], Mathematical and Computer Modelling, 51, 11-12, pp. 1343-1350, (2010)
  • [6] ZHANG Xinchang, GUO Taisheng, TANG Tie, An adaptive method for incremental updating of vector data[J], Acta Geodaetica et Cartographica Sinica, 41, 4, pp. 613-619, (2012)
  • [7] FU Zhongliang, WU Jianhua, Update technologies for multi-scale spatial database[J], Geomatics and Information Science of Wuhan University, 32, 12, pp. 1115-1118, (2007)
  • [8] CHEN Jun, HU Yungang, ZHAO Renliang, Et al., Road data updating based on map generalization[J], Geomatics and Information Science of Wuhan University, 32, 11, pp. 1022-1027, (2007)
  • [9] LUO Guowei, ZHANG Xinchang, QI Lixin, A incremental updating method of spatial data considering the geographic features change process[J], Acta Scientiarum Naturalium Universitatis Sunyatseni, 53, 4, pp. 131-135, (2014)
  • [10] ZHOU Sheng, REGNAULD N, ROENSDORF C., Towards a data model for update propagation in MR-DLM, Proceedings of the 11th ICA Workshop on Generalisation and Multiple Representation, (2008)