Topology-aware Roof Point Cloud Modeling Method for Airborne Buildings

Abstract

The present invention proposes an airborne building roof point cloud modeling method under topology perception, which includes the following steps: (1) roof patch clustering; (2) roof patch boundary tracking; (3) roof patch boundary Segmentation; (4) Building geometric model construction. The advantages of the present invention: 1) The modeling algorithm can maintain the consistency of the topological structure of the roof in various links such as roof patch segmentation, roof boundary extraction and model drawing; 2) Mixed expression of building boundaries by using projected points and original boundary points : On the one hand, it enhances the details of the model and improves the accuracy of the model; on the other hand, it also maintains the appearance of the regular geometric structure of the model, and the generated model is more compact, which is convenient for storage, network transmission and visual rendering of architectural models.

Description

technical field [0001] The invention relates to an airborne building roof point cloud modeling method under topology perception, and belongs to the field of remote sensing science and technology. Background technique [0002] With the development and application of spatial information technology, people's demand for data is getting higher and higher, and traditional two-dimensional data has been difficult to fully meet the needs of daily life and production. With the development of 3S technology, high-performance computing and three-dimensional visualization technology, it has become possible to efficiently acquire and process massive two-dimensional or three-dimensional data, such as Google Earth developed by Google and Bing Maps service launched by Microsoft, which can It enables people to wander in the virtual world composed of 3D models and experience the immersive artistic conception. The rich spatial information of 3D data helps to express the objective world more real...

AI Technical Summary

Problems solved by technology

[0010] (1) The method based on data-driven modeling does not need to assume the roof structure type of the building in advance. In theory, any roof type can be modeled, but the segmentation of roof structure elements often has a high time complexity, and even requires the help of human In addition, this type of method is also sensitive to the noise, density, uniformity and integrity of the ALS data, and the quality of the data seriously affects the accuracy of the final model;

[0011] (2) The model-driven modeling method is not sensitive to the quality of ALS data, and the constructed model has the characteristics of compactness, lightness (consisting of fewer triangles) and seamlessness. However, it is only applicable to Parametrically express simple buildings, even with the help of "CSG" modeling ideas to deal with complex structural buildings, it is difficult for the primitive library of the limited parameter model library to completely match the changing buildings in the real world;

These problems have not been well resolved

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