A constraint satisfaction approach to geospatial reasoning
作者： Craig A. Knoblock , Martin Michalowski
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摘要: The large number of data sources on the Internet can be used to augment and verify accuracy geospatial sources, such as gazetteers annotated satellite imagery. Data imagery, maps, vector have been traditionally in geographic infonnation systems (GIS), but nontraditional data, online phone books property records are more difficult relate In this paper, we present a novel approach combining extracted information from road sources. We represent problem identifying buildings images constraint satisfing (CSP) use programming solve it. apply technique real-world EI Segundo, CA our experimental evaluation shows how accurately identify when provided with both traditional
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