Zhiquan Huanga,b, Yu Fua, Fuchu Daia
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 29-34, 2018, DOI:10.1080/10798587.2016.1267237
Abstract The rapid development and extensive application of geographic information system (GIS) and the
advent of the age of big data bring about the generation of multi-resources spatial data, which makes
data integration and fusion share more difficult due to the differences on data source, data accuracy
and data modal. Meanwhile, study for multi-resources spatial data fusion methods has an important
practical significance for reducing the production cost of geographic data, accelerating the updating
speed of existing geographical information and improving the quality of GIS big data. To expound the
formation and developing trends of multi-resources spatial data fusion methods systematically,… More >
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