Mass point cloud Delaunay triangulation network construction method based on double spatial data organization
A technology of spatial data and construction methods, applied in the field of geographic information, can solve problems such as limited practicality, inability to guarantee network construction efficiency, and inability to guarantee efficiency, so as to achieve the effect of enhancing adaptability and improving overall efficiency
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[0037] The technical solutions of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the embodiments.
[0038] like figure 1 Shown, a kind of massive point cloud Delaunay triangulation network construction algorithm based on dual spatial data organization of the present invention comprises the following basic steps:
[0039] 1. Point cloud grid organization
[0040] Use the quadtree to organize the grid of the point cloud, which is realized by three complete traversals of the point cloud, such as figure 2 shown.
[0041] (1) The first traversal
[0042] Suppose the original input point cloud to be segmented is P={p i , i∈[1,n]}, where P i · x and P i y represents point p respectively iThe X and Y coordinates of P, find the maximum value of X and Y coordinates in P by traversing:
[0043] xmax=max(P i x), i∈[1,n], xmin=min(P i .x), i∈[1,n]
[0044] ymax=max(P i .y), i∈[1,n], ymin=min(P i .y)...
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