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Incremental Contour Fusion Based on Line/Line Topological Relation

Authors: Han-fa Xing; Bing-Liang Cui; Xiao-guang Zhou;

Incremental Contour Fusion Based on Line/Line Topological Relation

Abstract

Incremental contour fusion plays a very important role in updating topographic database. The most popular fusion methods in current use depend on manual work basically, in which it results in large workload, low efficiency and it can't ensure the quality of the spatial data. Therefore, the automatization of contour fusion should be developed exactly. Topological relation between unchanged contour and changed one is an important topic for contour fusion. In this paper, a new approach based on whole object is pursued to compute the binary topological relationship between them, in which "FL Points" are introduced, intersection and difference operators are selected from set operators to distinguish the topological relations between neighboring spatial line objects; three types of topological invariants are used for the computational results of set operations: contents, dimension and connectivity-number. Then 14 fusion rules are concluded and a prototype system for automated fusion is implemented. The proposed approach is examined to be reasonable and practicable by real and simulated experimental data.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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