The large-scale urban city is one of the most active elements, and has become one of the major tasks of spatial data matching. For the complex geometry shape, large amount of data-intensive, spatial data matching of polygon is still one of the most difficult problems to be solved. First, the large-scale polygon habitations were transformed into their main skeleton lines which can reflect
... [Show full abstract] corresponding polygon's outside characteristics. Second, the skeleton lines were translated into geometry morphological lines which were easier to express skeleton lines' shape characteristics by additional interpolation calculation. Third, the correlation coefficient of the original sketch lines and sketch lines to be matched was achieved by Fourier transform of morphological data. Finally, the matching relationships of original polygon habitations and habitations to be matched were got by judging the correlation coefficient of skeleton lines. After disposing of hierarchical technique, the two dimensional polygons were translated into one dimensional skeleton lines, thus the complex of the habitations was reduced greatly on the one hand, and many algorithms for line matching could be cited on the other hand. After transforming the skeleton lines into morphological lines, and analyzing the shapes of original polygon habitations and habitations to be matched with Fourier transform, the spatial features' geometry similar was improved greatly, which made great progress to the accuracy of spatial data matching. The validity and scientificity was illustrated by analyzing and comparing the results of examples.