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Proceedings Paper

A raster: relation-vector: entity integrated approach for spatial geographic feature retrieval
Author(s): Lina Huang; Lifan Fei; Bin Zheng
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Paper Abstract

Since vector approach can be applied for accurate geo-processing, while raster approach is suitable for spatial analysis, the integration of raster and vector approaches has been studied for years. For spatial analysis, data mining or other geo-processing, it is often necessary to retrieve the entities in GIS databases frequently. However, due to lacking of the description of spatial relations among the entities in current studies, these retrievals are severely time-consuming. This paper is to promote an integrated approach for geographic feature retrieve in a mechanism called "raster: relation-vector: entity" method concerning both the process speed and information maintenance. Firstly, a "dimension-plus" relational raster is designed for keeping all the identity information of the original spatial object based on object-oriented data model. "dimension-plus" means one more dimension is employed to store more information. Then scanning technique is developed for detecting the relations of the spatial objects in this new raster. Topological information is observed in a foreseeable raster index time. Finally topological information is transferred to vector organization and complex geometric objects can be reconstructed using vector data with minimal time consumption. This research realizes the recognition and the rebuild of spatial entities that are described in spatial shape, layer identity and the individual characteristics (e.g. color and style) of each entity in the map of .dwg format, both of the geometric information and semantic information are kept well in the retrieve process.

Paper Details

Date Published: 7 November 2008
PDF: 9 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71470T (7 November 2008); doi: 10.1117/12.813230
Show Author Affiliations
Lina Huang, Wuhan Univ. (China)
Lifan Fei, Wuhan Univ. (China)
Bin Zheng, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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