Unmanned aerial vehicle aerial photography sequence image-based slope three-dimension reconstruction method

A 3D reconstruction and slope technology, applied in 3D modeling, image data processing, instruments, etc., can solve the problems of high cost and poor flexibility, and achieve the effect of low cost, easy portability and high imaging resolution

Inactive Publication Date: 2015-12-23
TONGJI UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to propose a three-dimensional reconstruction method for slopes based on UAV aerial photography sequence images in view of

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  • Unmanned aerial vehicle aerial photography sequence image-based slope three-dimension reconstruction method

Examples

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Embodiment 1

[0027] Example 1: 3D terrain reconstruction of a certain slope

[0028] Select a certain slope, the width of the front edge is about 75m, the width of the rear edge is about 50m, the height difference between the front and back edges is about 20m, and the length of the slope is about 40m. There is no vegetation coverage on the slope surface.

[0029] (1) After preliminary lens correction of the captured images, 20 clear and highly overlapping multi-view images were selected. The algorithm based on feature matching refers to the algorithm based on Scale Invariant Feature Transform (SIFT) to perform feature Region matching and feature point pair extraction, 6000-7000 feature point information can be extracted from each single image, including RGB information of feature image points, the specific steps are as follows:

[0030] By comparing the sampling point with all adjacent points, detect the extreme points of the scale space, and preliminarily determine the position and scale...

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Abstract

The invention relates to an unmanned aerial vehicle aerial photography sequence image-based slope three-dimension reconstruction method. The method includes the following steps that: feature region matching and feature point pair extraction are performed on un-calibrated unmanned aerial vehicle multi-view aerial photography sequence images through adopting a feature matching-based algorithm; the geometric structure of a slope and the motion parameters of a camera are calculated through adopting bundle adjustment structure from motion and based on disorder matching feature points, and therefore, a sparse slope three-dimensional point cloud model can be obtained; the sparse slope three-dimensional point cloud model is processed through adopting a patch-based multi-view stereo vision algorithm, so that the sparse slope three-dimensional point cloud model can be diffused to a dense slope three-dimensional point cloud model; and the surface mesh of the slope is reconstructed through adopting Poisson reconstruction algorithm, and the texture information of the surface of the slop is mapped onto a mesh model, and therefore, a vivid three-dimensional slope model with high resolution can be constructed. The unmanned aerial vehicle aerial photography sequence image-based slope three-dimension reconstruction method of the invention has the advantages of low cost, flexibility, portability, high imaging resolution, short operating period, suitability for survey of high-risk areas and the like. With the method adopted, the application of low-altitude photogrammetry and computer vision technology to the geological engineering disaster prevention and reduction field can be greatly prompted.

Description

technical field [0001] The invention relates to a method for three-dimensional reconstruction of a slope based on a UAV aerial photograph sequence image, and belongs to the technical fields of geological engineering, photogrammetry and computer application. Background technique [0002] Under the action of earthquakes, rainfall and human engineering activities, slope geological disasters occur frequently, such as landslides, mud-rock flows, collapses, etc., which have seriously restricted the sustainable development of cities. Quickly and accurately establishing a 3D model of a slope can not only provide basic data for slope deformation monitoring, but also has important value for disaster assessment and emergency rescue after slope instability. [0003] At present, the methods for 3D reconstruction of slopes mainly include 3D laser scanning and interpretation of remote sensing images. Although 3D laser scanning can obtain a high-precision 3D model of the slope, the laser s...

Claims

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Application Information

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IPC IPC(8): G06T17/05
Inventor 黄雨于淼周佳敏毛丽雅王贺
Owner TONGJI UNIV
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