Optimization method, device and medium of house line in large-scale topographic map of UAV
An optimization method and scale technology, which is applied in the field of architectural surveying and mapping, can solve the problems of large check deviation, inability to perform surveying and mapping, and restricting the promotion and application of large-scale topographic maps measured by drones.
Active Publication Date: 2021-09-10
GUANGZHOU URBAN PLANNING & DESIGN SURVEY RES INST
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Problems solved by technology
However, when manually drawing the edge of a house directly on a stereo image, a large selection error is likely to occur due to the sharp corners of the linear target in the view; Feature locations such as corner points cannot be directly displayed on the image, making it impossible to perform surveying and mapping
The above-mentioned problems lead to insufficient precision and low efficiency of house surveying and mapping, and to a large extent limit the promotion and application of large-scale topographic maps measured by drones
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[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0044] see figure 1 , which is a flowchart of a method for optimizing a house line of a large-scale topographic map of a UAV provided by an embodiment of the present invention. The method for optimizing a house line of a large-scale topographic map of a UAV includes:
[0045] S100: Construct a real-scene 3D model of a designated building according to the multi-view oblique images;
[0046] S200: Select several points from the adjacent facades in the real-scene thr...
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The invention discloses a method, device and medium for optimizing a house line of a large-scale topographic map of an unmanned aerial vehicle. Several points are selected in the adjacent facades, and projected onto the preset measurement projection surface to obtain the projection points of the selected points in the adjacent facades on the measurement projection surface; according to For several projection points corresponding to the same facade, calculate the projection lines of the facade and the projection intersections of the adjacent facades; according to the topological relationship between the projection lines and the projection intersections, connect The projection line and the projection intersection point obtain the outline of the designated building. The above method can accurately extract the outline of the building based on the multi-view oblique image, and improve the accuracy and efficiency of building surveying and mapping.
Description
technical field [0001] The invention relates to the technical field of architectural surveying and mapping, in particular to a method, device and medium for optimizing house lines of a large-scale topographic map of an unmanned aerial vehicle. Background technique [0002] A topographic map is an important general purpose map, which is the projection of the location and shape of features and landforms on a specific horizontal plane. Specifically, it is to project the objects and landforms on the ground onto the projection surface along the vertical line, and draw them according to a certain scale. As an important feature, houses are key elements in various topographic maps, and the convenience and accuracy of their surveying and mapping are crucial to topographic maps. [0003] In recent years, the use of UAVs for large-scale topographic mapping in the range of 1:2000 or even 1:500 has become a hot research topic in the field of global surveying. Compared with traditional ...
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IPC IPC(8): G01C11/34
CPCG01C11/34
Inventor 杨光张荣林鸿
Owner GUANGZHOU URBAN PLANNING & DESIGN SURVEY RES INST