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Combined the global optimization ability of particle swarm algorithm and memory capacity of tabu algorithm, this paper proposed an automatic vector road network matching method based on the combination of particle swarm optimization and tabu strategy. Firstly, the similarity between node entities is evaluated by means of geometric and topological(More)
Aiming at the complex multisource road network matching modes, this paper proposed a road network matching method based on hierarchical stable strokes. The progress of the matching method adopts recursive method and gives consideration to both global consistency and local similarity of homonymous road features. One layer of hierarchical strokes generating(More)
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