Progressive building extraction method based on original laser point cloud

Abstract

The invention discloses a progressive building extraction method based on an original laser point cloud, and the method comprises the following steps: 1, carrying out the progressive mathematical morphological filtering of the original laser point cloud, and separating non-ground points; 2, adopting an improved 3D-Hough conversion algorithm to detect a plane in non-ground points, extracting building point cloud through the plane, and projecting the building point cloud to a two-dimensional plane; 3, determining key points of the building point cloud by adopting an adjacent point azimuth anglethreshold method; 4, based on the key points of the building point cloud, utilizing RANSAC fitting to obtain an initial contour line of the building; and 5, regularizing the initial contour line of the building by using a regularization algorithm to obtain a regularized building contour line. According to the method, a complete set of extraction process from the original point cloud to the building contour line is provided, processing can be directly started from the obtained laser radar point cloud data, and the type, range and precision of the extracted point cloud can be adjusted accordingto requirements.

Description

technical field [0001] The invention relates to the technical field of geographic information, in particular to a progressive building extraction method based on original laser point clouds. Background technique [0002] Buildings as the main body of the city are important elements of urban 3D modeling, and the extraction of building outlines is a key step in 3D modeling. Building outline information is used to supervise illegal buildings, update maps, evaluate real estate, The construction of smart cities is also of great significance. At present, for the extraction and regularization of building outlines, there are mainly methods based on high-resolution remote sensing images, airborne LiDAR data and a combination of the two. Traditional image-based building outline extraction is often interfered by various ground objects, which is technically difficult and inefficient. Therefore, many scholars use the method of combining high-resolution images and lidar point cloud data...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a progressive building extraction method based on the original laser point cloud to solve the problem of low efficiency of the existing building outline extraction method

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