A twofold fuzzy region model for imprecise (duality control of geographic information

被引：0

作者：

Charlier, Niels ^{[1
]}

De Tre, Guy ^{[1
]}

Gautama, Sidharta ^{[1
]}

Bellens, Rik ^{[1
]}

机构：

[1] Univ Ghent, Dept Telecommun & Informat Proc, B-9000 Ghent, Belgium

来源：

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2008, PT 1, PROCEEDINGS | 2008年 / 5072卷

关键词：

GIS; qualitative spatial reasoning; imperfect data modelling; fuzzy sets;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we propose a new data model for imperfect geographic information: a twofold fuzzy region model; which is an extension of both the fuzzy region model and the egg/yolk model. We show how it is meaningful and practically useful in representing the knowledge that results from classified pixel data. By defining different operators on the model we are able to develop an imprecise quality report for geographic databases that actually uses the imperfect classification data as a reference. This allows us, despite the large amount of imperfection in geographic classifications, to use them for rather accurate error detection on geographic databases.

引用

页码：647 / 662

页数：16

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