Multiple-source spatial data fusion and integration research in the region unified planning management information system

Zhijun Liu; Liangpei Zhang; Zhenmin Liu; Hongbo Jiao; Liqun Chen

doi:10.1117/12.815919

29 December 2008 Multiple-source spatial data fusion and integration research in the region unified planning management information system

Zhijun Liu, Liangpei Zhang, Zhenmin Liu, Hongbo Jiao, Liqun Chen

Author Affiliations +

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72854B (2008) https://doi.org/10.1117/12.815919
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

In order to manage the internal resources of Gulf of Tonkin and integrate multiple-source spatial data, the establishment of region unified plan management system is needed. The data fusion and the integrated research should be carried on because there are some difficulties in the course of the system's establishment. For example, kinds of planning and the project data format are different, and data criterion is not unified. Besides, the time state property is strong, and spatial reference is inconsistent, etc. In this article the ARCGIS ENGINE is introduced as the developing platform, key technologies are researched, such as multiple-source data transformation and fusion, remote sensing data and DEM fusion and integrated, plan and project data integration, and so on. Practice shows that the system improves the working efficiency of Guangxi Gulf of Tonkin Economic Zone Management Committee significantly and promotes planning construction work of the economic zone remarkably.

Citation Download Citation

Zhijun Liu, Liangpei Zhang, Zhenmin Liu, Hongbo Jiao, and Liqun Chen "Multiple-source spatial data fusion and integration research in the region unified planning management information system", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72854B (29 December 2008); https://doi.org/10.1117/12.815919

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KEYWORDS

Data fusion

Information fusion

Computer aided design

Data integration

Databases

Image fusion

Remote sensing

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