Building white mold consistency merging method based on nearest connection lines

Abstract

The invention discloses a building white mold consistency merging method based on nearest connection lines, which comprises the following steps of: firstly, dividing a plurality of building white molds in a large range into different groups, and executing merging operation by taking the groups as drawing units; and secondly, approximately representing the linear raster data by points on the line through encryption point operation, searching for the points on the line and the nearest points thereof, establishing the nearest relation, and finally finding out the spatial nearest connection line between the building white models, so that the establishment rationality of the nearest relation can be ensured. And finally, realizing combination of the building white patterns through marking of points and extraction of building boundaries. According to the method, errors in the building white mold data sampling process are fully considered, experiments and analysis of diversified data prove that the efficiency and effect of the algorithm are far higher than those of manual processing, and the requirements of production practice for building white mold combination and topology consistency processing are better met.

Description

technical field [0001] The invention belongs to the technical field of map-drawing synthesis, and in particular relates to a method for consistent merging of white models of buildings based on nearest-neighbor lines. Background technique [0002] Building white models are roof polygons with elevation attributes. When the 3D point cloud obtained by oblique photogrammetry is used to construct a 3D surface model, the planar projections of these white models often have errors compared with the actual data. One of the important and difficult points of cartographic synthesis in urban GIS is to use building white model data to merge planar building white models. In this process, errors in the data itself need to be considered. In the previous research, the detection of adjacent relationship is the premise of building white model polygon merging, mainly including buffer zone method, triangulation network method, spatial clustering method and so on. Common methods for merging buildi...

AI Technical Summary

Problems solved by technology

However, on the one hand, these methods do not consider the errors existing in the data collection process of building white models, and sometimes there are problems when they are directly used for merging building white models; on the other hand, they usually do not consider the islands generated after building white models Happening

The currently commonly used Delaunay triangulation method will generate redundant triangulations when constructing a building group network. Although the merging effect is good, the network construction efficiency is low

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