Heterogeneous data integration of vector data and imagery based on fuzzy reasoning in GIS

Ping Wang; Li Guan; Xiangnan Liu

doi:10.1117/12.712742

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28 October 2006 Heterogeneous data integration of vector data and imagery based on fuzzy reasoning in GIS

Ping Wang, Li Guan, Xiangnan Liu

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Proceedings Volume 6420, Geoinformatics 2006: Geospatial Information Science; 64201D (2006) https://doi.org/10.1117/12.712742
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

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.

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Ping Wang, Li Guan, and Xiangnan Liu "Heterogeneous data integration of vector data and imagery based on fuzzy reasoning in GIS", Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 64201D (28 October 2006); https://doi.org/10.1117/12.712742

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