Multisource spatial linear entity matching algorithm based on multisteps buffer analysis

Spatial data integration and fusion is an important research field in Geographical Information Science. The key of integration and fusion of spatial data lies in automated recognition and matching of homonymous features. This article concludes the spatial location matching relationships among the homonymous linear entities. Linear entity matching algorithm based on multi-steps buffer analysis is presented and accomplished in this article. Sequence matching strategy is adopted to recognize homonymous linear entities step by step. At each step, a part of non-matching linear entities are eliminated rapidly, which can increase the match speed effectively. In the end, a test and analysis have been done. Two different kinds of navigation data of a same region are used for the test. This matching method can reach satisfactory matching speed and efficiency.