Consistency Merging Method of Building White Models Based on Nearest Neighbor Links

Abstract

The invention discloses a consistent merging method of building white models based on the nearest adjacent connection. Firstly, many building white models in a wide range are divided into different groups, and the group is used as a drawing unit to perform a merging operation. Secondly, through the encryption point operation, the linear raster data is approximately represented by the points on the line, the point on the line and its nearest neighbor point are found and the nearest neighbor relationship is established, and finally the spatial nearest connection line between the building white models is found , which can ensure the rationality of establishing the nearest neighbor relationship. Finally, the merging of building white models is realized by marking points and extracting building boundaries. The present invention fully takes into account the errors in the sampling process of building white model data, and proves through experiments and analysis of diverse data that the efficiency and effect of the algorithm are far higher than manual processing, and better meet the requirements of production practice for building white model Requirements for merging and topologically consistent handling.

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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