An area merging method in map generalization considering typical characteristics of structured geographic objects

Merging is an important operation in the map generalization of land-cover and other coverages. We define structured geographic objects as collections adjacent areas with homogeneous semantics that are regularly arranged spatial structures. Existing studies have concentrated on unstructured objects, which will lead to ones losing part or even most typical characteristics during merging. Therefore, a supplement existing mature merging method, targeted method was proposed this paper address problem objects. First, were classified into four patterns, they identified automatically according seven structure parameters. Second, Miter-type buffer transformation introduced extract overall boundary inside processed appropriate operations for their pattern. Finally, corresponding merged results inserted back result original data by using NOT operation, conflicts near adjusted. test our dataset geographical census city China. The experimental revealed compared state-of-the-art produces more reasonable effectively identifying maintaining structures; moreover, also preserves planar tessellation characteristic balance area variation each class.