Research on consistency processing of multi-source geospatial data

doi:10.11947/j.AGCS.2022.20220151

Abstract

Abstract: The processing and application of multi-source geospatial data have been widely concerned recently. The consistency processing of multi-source geospatial data is a significant technology to eliminate the problems amang multi-source, heterogeneous, muti-temporal and multi-scale geospatial data, as well as a major way to produce and update geospatial data. In this paper, the main causes of inconsistency in multi-source geospatial data are firstly discussed, then the research progress of consistency processing is overviewed and evaluated from 3 aspects, namely geometric, semantic and spatial-relation. Based on the analysis above, a series of tough problems to be solved are expounded, where the future research priorities are put forward sequentially.

Key words: multi-source geospatial data, identical entity matching, geometric consistency processing, semantic consistency processing, spatial-relation consistency processing

CLC Number:

P208

SUN Qun, WEN Bowei, CHEN Xin. Research on consistency processing of multi-source geospatial data[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(7): 1561-1574.

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