Water surface area reconstruction method for oblique photography three-dimensional model data of unmanned aerial vehicle

Abstract

The invention relates to a water surface region reconstruction method for unmanned aerial vehicle oblique photography three-dimensional model data, and the method comprises the steps: converting the unmanned aerial vehicle oblique photography three-dimensional model data into point cloud data, and carrying out the grid processing; designing a water surface region boundary extraction method by using density and elevation characteristics of water surface region point cloud data, and rapidly screening water area boundary point clouds; based on the water area boundary extraction result, constructing a triangulated irregular network model of the water surface area; intelligent selection of a water surface area texture image is realized based on EXIF information of downward-looking image data of the unmanned aerial vehicle, and an intelligent processing algorithm is designed to generate final water surface area texture image data in combination with a spatial inclusion relation between the texture image and a TIN model, so that water surface area reconstruction is realized. According to the method, an existing unmanned aerial vehicle oblique photogrammetry three-dimensional modeling technical system can be perfected, real water surface information can be rapidly and automatically reconstructed, and the method has high application and popularization value in the fields of twinborn drainage basins, twinborn cities and the like.

Description

technical field [0001] The invention belongs to the field of three-dimensional modeling, and in particular relates to a method for rapidly reconstructing a water surface area for oblique photography of three-dimensional model data of an unmanned aerial vehicle. Background technique [0002] UAV oblique photogrammetry technology provides a new and effective method for rapid 3D reconstruction of large-area geospatial elements, and has been widely used in 3D modeling at the scale of cities and watersheds. Compared with other geospatial elements, the water surface area is easily affected by factors such as wind, waves, reflection, etc., which makes it impossible to achieve rapid reconstruction of the water surface area with the existing technology. Therefore, in the existing 3D visualization systems, the real water surface information of rivers and lakes is rarely displayed. In general application scenarios, real water surface information is rarely concerned, and a preset (imag...

AI Technical Summary

Problems solved by technology

For some special application fields (such as ecological environment monitoring, water pollution supervision, etc.), real water surface information (water color, floating objects, etc.) is an important basis for decision-making, and the preset water surface model cannot meet the demand

Although some commercial software (such as 3ds Max, DP-Modeler, etc.) can repair the water surface area in the 3D model of UAV oblique photography, the whole process requires a lot of manual participation and is very inefficient; more importantly, Such software usually uses texture interpolation, texture sampling, etc. to reconstruct water surface information. It is still difficult to visualize real water surface information in 3D scenes.

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