Paper
30 October 2009 Spatial relationship representation based on cloud model
Author Affiliations +
Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74983A (2009) https://doi.org/10.1117/12.831463
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
By introducing the object cloud into topological space, the spatial relationships between fuzzy objects transform to cloud relationships in cloud space. According to cloud theory, all the spatial objects can be represented by three types object cloud: point-cloud, line-cloud and area-cloud. So the 9-intersection model of spatial topological relations proposed by Egenhofer can be extended by using the new definition of object cloud. The relationship between object clouds is flexible relationship. Different from the crisp relationship model, 9IM, the flexible relationship model by object cloud can be simplified to 4-intersection cloud model(4ICM), including to equal, contain, intersect and disjoint. The cloud operation and virtue cloud can be introduced to representing the fuzzy and uncertain topological relations. The method makes spatial data model enable to model the spatial phenomena with fuzziness and uncertainties, and enriches the cloud theory.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zuocheng Wang and Lixia Xue "Spatial relationship representation based on cloud model", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74983A (30 October 2009); https://doi.org/10.1117/12.831463
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KEYWORDS
Clouds

Fuzzy logic

Data modeling

Remote sensing

Digital image processing

Geographic information systems

Image processing

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