Automatic laser scanning data physical plane extraction method with multi-scale characteristics fused

Abstract

The invention relates to an automatic laser scanning data physical plane extraction method with multi-scale characteristics fused. Existing problems solved by the method of the invention mainly comprise: 1, an optimal neighborhood adaptive determination method based on information entropy is developed, and influences on three-dimensional point local geometric characteristic calculation by factors such as point density changes, noise and data missing are overcome; 2, point-based characteristics (such as dimension characteristics and a normal vector) and region-based characteristics (such as roughness, compactness, a scale and a length-width ratio) are used comprehensively to carry out extraction of a physical plane region, and thus accuracy of physical plane extraction is improved; and 3, the existing plane segmentation method application range is expanded. The method of the invention is applicable to physical plane extraction for laser scanning data with an airborne type, a vehicle-mounted type, a fixed station type and the like. The overall technical flow chart is as follows.

Description

technical field [0001] The invention belongs to the intersecting field of computer vision and laser scanning data processing, and in particular relates to a physical plane feature extraction and automatic model reconstruction method of laser scanning data. Background technique [0002] The laser scanning system can automatically obtain high-precision 3-dimensional coordinate information on the surface of objects. It has become a fast means of spatial data acquisition and is widely used in basic surveying and mapping, digital cities, transportation, forest resource investigation, environmental protection, and cultural relics protection. and reconstruction. At the same time, laser scanning data has the characteristics of large data volume, uneven distribution of point cloud density, various scene objects (buildings, roads, trees, vehicles, traffic signs, traffic lights, etc.), and rich detail structures, so it is difficult to directly analyze the entire scene. 3D reconstructi...

AI Technical Summary

Problems solved by technology

The technical problems solved by the present invention mainly include: 1) Develop an adaptive determination method for the best neighborhood based on information entropy, which overcomes the influence of factors such as point density changes, noise, and data loss on the calculation of local geometric features of three-dimensional points; ② Comprehensive Using point-based features (dimensional features, normal vectors, etc.) and area-based features (roughness, compactness, scale, aspect ratio, etc.) for physical plane area extraction improves the accuracy of physical plane extraction; ③ Expanding the scope of application of existing plane segmentation methods, the invention is suitable for physical plane extraction of various types of laser scanning data such as airborne, vehicle-mounted, and fixed stations

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