Incremental updating geospatial data by granular computing

Chen Shen; Ying Song

doi:10.1117/12.872962

3 November 2010 Incremental updating geospatial data by granular computing

Chen Shen, Ying Song

Proceedings Volume 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality; 78401W (2010) https://doi.org/10.1117/12.872962
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China

Abstract

Updating geospatial data has recently become an important work for related fields. Constantly changing geospatial data are meaningless for all geospatial databases at all scales with problems in the representation condition and reasoning for new objects. We proposed an incremental updating strategy and method for geospatial data based on granular computing, to solve the problems in both static and dynamic conditions. We pointed out that proper representation of geospatial data at a given scale cannot be achieved unless the original data of geospatial objects satisfy the representation condition. With granular computing, we can implement the representation condition, with which new geospatial data can be inferred. In addition, we also introduced the method for a case.

Citation Download Citation

Chen Shen and Ying Song "Incremental updating geospatial data by granular computing", Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 78401W (3 November 2010); https://doi.org/10.1117/12.872962

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