Methodological research on optimal matching candidates of line objects
Zhengyuan Mao · Cehui kexue · 2011
As a fundamental way to integrate geospatial data,feature matching is the focus and hardship of map conflation.The article divided line objects into simple ones and complicated ones based on their shape,and presented an idea to optimize their matching candidates according to different criteria.For the former,the criterion was the proximal relationship of their endpoints and midpoints derived from Voronoi diagram;for the latter,the criterion was a similarity index derived from overlapping proportion of their buffers.The corresponding algorithm was also designed and implemented.The case study testified that the algorithm could meet the needs of feature matching in urban road maps with different scale and phase.