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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
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. This paper attempts to advance a combined approach for geographic feature retrieve in a mechanism so called “raster: relation-vector: entity” combined approach. That is, using a “dimension-plus”relational raster, the topological information is examined within a foreseeable raster index time by reducing the need of calculating exact geometry of spatial objects. Such topological information is in turn to vector organization. Hence the complex geometric objects can be reconstructed using vector data within minimal time consumption. This research realizes the recognition and the rebuild of spatial entities described in geometric and semantic information based on vector data.