Qualitative spatial reasoning under uncertainty in geographical information systems

Loerch, Ute; Guesgen, Hans W.

dc.contributor.author	Loerch, Ute	en
dc.contributor.author	Guesgen, Hans W.	en
dc.date.accessioned	2009-06-16T01:52:46Z	en
dc.date.available	2009-06-16T01:52:46Z	en
dc.date.issued	1997	en
dc.identifier.citation	Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Orlando, FL, USA, 2169-2174. (1997)	en
dc.identifier.issn	08843627	en
dc.identifier.uri	http://hdl.handle.net/2292/4390	en
dc.description	An open access copy of this article is available and complies with the copyright holder/publisher conditions.	en
dc.description.abstract	The capability of geographical information systems (GIS) to display images and analyse them is one of the most powerful features, because people have a very consistent ability to reason about visual features according to their own knowledge model. Usually the abilities of GIS are restricted in dealing with quantitative data only, so that they fail whenever exact matches cannot be found. A solution to this problem is not only to allow the quantitative information, but also qualitative one. Proximity factors such as `close to' and `far from' are included. The qualitative approach offers a more natural way for the user of the system to specify what he actually wants, by using the proximity operators. This paper is an attempt of integrating qualitative spatial reasoning into geographic information systems. The idea is to associate qualitative information with fuzzy sets and to use the values of these fuzzy sets for spatial reasoning. The authors are concerned with the problem of image interpretation, which stands for the geometric and semantic recognition of the objects contained in one image	en
dc.publisher	IEEE	en
dc.relation.ispartof	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics	en
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dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm	en
dc.title	Qualitative spatial reasoning under uncertainty in geographical information systems	en
dc.type	Conference Paper	en
dc.subject.marsden	Fields of Research::290000 Engineering and Technology	en
dc.identifier.doi	10.1109/ICSMC.1997.635187	en
pubs.begin-page	2169-2174.	en
dc.description.version	VoR - Version of Record	en
dc.rights.holder	Copyright IEEE	en
dc.rights.accessrights	http://purl.org/eprint/accessRights/OpenAccess	en