3 August 2007 The research of object selection method based on rough set in map generalization
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Object selection is an important technical problem in the process of map generalization. Considering creative-thinking characteristic of map generalization process, the paper bring the Rough Set theory from spatial data mine field to map generalization field, put forward a new thought for map generalization based on classification idea of Rough Set. The method of Rough Set which has the benefit on enormous data with the imperfection and non-precision character has become a new tool to make research on spatial data mining. The paper analyzes the imperfection characters of geo-spatial data processing based on Rough Set and the selection problem in the processing of map generalization with classification thought; presents the thought that map generalization is a kind of classification for map objects. The method mentioned in this paper use different spatial and attribute information as different point of view to observe the map objects. The result of the classification is ordered by the weightiness of all kinds of factors. In the end, a river objects selection test validates the rough set map generalization method mentioned in this paper.
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Wenjing Li, Wenjing Li, Yi Long, Yi Long, Zhiyong Lin, Zhiyong Lin, } "The research of object selection method based on rough set in map generalization", Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510C (3 August 2007); doi: 10.1117/12.759491; https://doi.org/10.1117/12.759491

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