Method for extracting feature point of building based on oblique photogrammetry, device and storage medium

Abstract

The invention discloses a method for extracting a feature point of a building based on oblique photogrammetry, a device and a storage medium. The method comprises the following steps: constructing a real three-dimensional model of an appointed building according to multiple oblique images; selecting three non-collinear points from external vertical walls of the real three-dimensional model, thereby calculating optimal planes corresponding to the external vertical walls; calculating an intersecting line of two adjacent external vertical walls according to the optimal planes corresponding to thetwo adjacent external vertical walls in the real three-dimensional model; extracting an intersection point of the intersecting line and the optimal planes of other external vertical walls in the realthree-dimensional model and taking the intersection point as the feature point of the real three-dimensional model. According to the method, the feature point of the building can be accurately extracted according to multiple oblique images, so that the surveying and mapping accuracy and efficiency of the building are increased.

Description

technical field [0001] The present invention relates to the technical field of building surveying and mapping, in particular to a method, device and storage medium for extracting feature points of tilted photogrammetry buildings. Background technique [0002] Oblique photogrammetry is a high-tech emerging in the field of international photogrammetry in recent years. It obtains rich high-resolution textures of building top surfaces and side views by collecting images from different perspectives. It can not only truly reflect the situation of ground objects, obtain object texture information with high precision, but also generate a nearly real 3D city model through advanced positioning, fusion, modeling and other technologies. [0003] Oblique images allow users to observe ground objects from multiple angles, more truly reflect the actual situation of ground objects, and greatly make up for the shortcomings of traditional orthophoto applications. Through the supporting applic...

AI Technical Summary

Problems solved by technology

As the camera resolution of oblique photogrammetry is getting higher and the number of lenses is increasing, the data volume of the 3D model of the real scene is increasing geometrically, and the efficiency of feature point search by directly using the triangulation network is getting lower and lower; Moreover, due to the constraints of the TIN itself, it has a better fitting effect on surfaces, but it is difficult to accurately fit linear targets and prominent corner points with non-smooth outlines of buildings; and if the feature points are directly identified manually, Often, because the target appears sharp in the view, it is easy to produce a large selection deviation; in addition, due to the influence of trees, vegetation and other features, the feature points of many buildings cannot be directly displayed on the oblique image

The above-mentioned problems will lead to insufficient precision of building feature point extraction and low efficiency, and it is difficult to meet the occasions where high precision requirements for building measurement are required in the fields of planning, construction, urban management, and municipal administration.

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