Continuous multi-scale transformation of building footprints

Underpinned by computer technology and intelligent devices, the display of geospatial elements has outstripped the constraints of traditional serial scale frameworks, progressing toward continuous multi-scale representation. Buildings are one of the most fundamental geospatial elements. Addressing the issues of feature point mismatching and unreasonable deformation of concave and convex parts of a building contour found in other continuous representation methods, as well as the inability to handle the continuous representation through scale of buildings in complex correspondences, i.e. where the correspondence is of the M:N (M > 1 or N > 1) or M:0 (M > 0) type, this paper proposes a multi-scale continuous transformation method for buildings based on graphical decomposition, and a linked matching method with edge-driven points. First, in the case of 1:1, the method of edge-driven points matching is designed based on distance and angle, for interpolating intermediate graphics. Second, for M:N complex elements, the graphics are decomposed into one-to-one correspondence, and then those are matched and transformed. Finally, this paper simplifies the 1:0 element according to its minimum bounding rectangle and reduces its complexity until it is removed from the dataset. The conducted experiments show that this method can achieve good multi-scale continuous expression of building map.