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Proceedings Paper

Heterogeneous data integration of vector data and imagery based on fuzzy reasoning in GIS
Author(s): Ping Wang; Li Guan; Xiangnan Liu
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Paper Abstract

Integrated analysis of Heterogeneous spatial data sets is becoming an increasing focused and important issue in geographical information sciences at present. More and more interdisciplinary projects need the integrated analysis of heterogeneous spatial data sets from multi-sources with different quality. Especially with the development of remote sensing technology, how to make full use of the huge spatial data and how to integrate them with available history data and statistical data attract more and more attention. In this paper, the heterogeneous data integration of vector data and imagery is discussed, and a new method using fuzzy reasoning in GIS is put forwards to integrate the former vector land use data and present remote sensing imagery. One example experiment for Changling County in Northeast China with the above-mentioned method is described in detail. In the example, the real change information of earth surface is extracted exactly because the uncertainty imported by other factors is removed.

Paper Details

Date Published: 28 October 2006
PDF: 8 pages
Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 64201D (28 October 2006); doi: 10.1117/12.712742
Show Author Affiliations
Ping Wang, Northeast Normal Univ. (China)
Li Guan, Peking Univ. (China)
Xiangnan Liu, China Univ. of Geosciences (China)


Published in SPIE Proceedings Vol. 6420:
Geoinformatics 2006: Geospatial Information Science
Jianya Gong; Jingxiong Zhang, Editor(s)

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