Building intelligent three-dimensional mapping method based on multi-source remote sensing data

Abstract

The invention discloses a building intelligent three-dimensional mapping method based on multi-source remote sensing data, and the method comprises the steps: obtaining a building roof vector contourof a target measurement region and a structured building group three-dimensional wireframe model through employing aerial remote sensing image data and laser point cloud data of the target measurementregion. According to the invention, aerial remote sensing image data is utilized to generate image three-dimensional point cloud, and high-precision registration fusion of the image point cloud and laser point cloud is completed; high-precision DSM, DEM, traditional DOM and OESM models are generated by using the fused three-dimensional point cloud; building boundaries are extracted through three-dimensional point cloud, contour lines are extracted on a DOM, the boundaries and the DOM are fused to extract and screen building two-dimensional vector contours, and high-precision extraction of building roof contours is achieved; and a building structured wireframe three-dimensional model is quickly generated based on the building roof two-dimensional vector contour and the high-precision OESMmodel. According to the method, manual intervention is not needed, and full-automatic building three-dimensional mapping is achieved.

Description

technical field [0001] The invention belongs to the field of three-dimensional mapping of buildings, in particular to an intelligent three-dimensional mapping method for buildings based on multi-source remote sensing data. Background technique [0002] The production efficiency of the traditional stereo mapping method is low, and it takes a lot of labor and time to realize the semi-automatic extraction of building outline information by manual intervention. Most of the existing 3D modeling methods for large-scale buildings are based on large-scale point cloud information for network reconstruction, which has high computational complexity, and the generated models do not have structured information, and it is desired to obtain a single 3D model of the building raletively hard. [0003] The Chinese patent with the publication number CN109685891A applied for a 3D building modeling and virtual scene generation system based on depth images. The patent implementation method inclu...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that manual interactive editing is required to achieve precise line feature constraints, and there are more requirements for data sources

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