DocumentCode :
440620
Title :
Landmark-based qualitative reference system
Author :
Wang, Xiaoming ; Liu, Yu ; Gao, Zhenji ; Wu, Lun
Author_Institution :
Inst. of Remote Sensing & Geogr. Inf. Syst., Peking Univ., Beijing, China
Volume :
2
fYear :
2005
fDate :
25-29 July 2005
Abstract :
It becomes more and more important for next generation of GIS to develop cognition-accordant data models which is properly guided by the way how human actually thinks about geographic space. Thus, a new method named landmark-based qualitative reference (LBQR) system is introduced to express qualitative positional information in this paper. Qualitative position can be determined by one or several landmarks which are calculated adaptively according to the target object under LBQR framework. In LBQR framework, qualitative coordinates (QC) are used to represent the position of the target object. QC is defined based on cardinal direction relations between target object and one or several landmarks adjacent to it. At first, Voronoi model is used to determine the reference objects for each target object. Then cardinal direction relations are modeled by minimal bounding rectangle method or cone-based method according to the geometry type of each reference object respectively. Last, an experiment is carried out to evaluate whether the Voronoi model conforms to human spatial cognition.
Keywords :
computational geometry; data models; geographic information systems; knowledge acquisition; knowledge representation; spatial reasoning; Voronoi model; cardinal direction; cognition-accordant data models; cone-based method; geographic information system; geographic space; human spatial cognition; landmark-based qualitative reference system; minimal bounding rectangle; object geometry; qualitative coordinates; qualitative positional information; qualitative spatial reasoning; target object position; Cognition; Data models; Geographic Information Systems; Geometry; Humans; Knowledge acquisition; Navigation; Organizing; Remote sensing; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
Print_ISBN :
0-7803-9050-4
Type :
conf
DOI :
10.1109/IGARSS.2005.1525264
Filename :
1525264
Link To Document :
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