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Proceedings Paper

Incremental updating geospatial data by granular computing
Author(s): Chen Shen; Ying Song
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Paper 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.

Paper Details

Date Published: 4 November 2010
PDF: 7 pages
Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 78401W (4 November 2010); doi: 10.1117/12.872962
Show Author Affiliations
Chen Shen, Heilongjiang Land Resource Surveying and Planning Institute (China)
Wuhan Univ. (China)
Ying Song, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7840:
Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality
Huadong Guo; Changlin Wang, Editor(s)

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