无人机倾斜摄影测量技术支持下的裸露边坡表面变化识别

doi:10.13474/j.cnki.11-2246.2023.0230

测绘通报 ›› 2023, Vol. 0 ›› Issue (8): 45-50.doi: 10.13474/j.cnki.11-2246.2023.0230

无人机倾斜摄影测量技术支持下的裸露边坡表面变化识别

王宇昊¹, 李登华^2,3, 丁勇¹

1. 南京理工大学理学院, 江苏南京 210094;
2. 南京水利科学研究院, 江苏南京 210029;
3. 水利部水库大坝安全重点实验室, 江苏南京 210029

收稿日期:2022-11-28 发布日期:2023-09-01
通讯作者: 李登华。E-mail:dhli@nhri.cn
作者简介:王宇昊(1996-),男,硕士生,研究方向为结构健康监测。E-mail:1837594496@qq.com
基金资助:
国家重点研发计划(2022YFC3005502)；国家自然科学基金(51979174)；国家自然科学基金联合基金(U2040221)

Surface change identification of exposed slope based on UAV inclined photogrammetry

WANG Yuhao¹, LI Denghua^2,3, DING Yong¹

1. School of Science, Nanjing University of Science and Technology, Nanjing 210094, China;
2. Nanjing Hydraulic Research Institute, Nanjing 210029, China;
3. Key Laboratory of Reservoir Dam Safety, Ministry of Water Resources, Nanjing 210029, China

Received:2022-11-28 Published:2023-09-01

摘要/Abstract

摘要： 为克服传统人工边坡调查方法效率低、风险高、难度大等缺陷,针对高陡裸露边坡,本文提出了基于无人机倾斜摄影的边坡三维重建和灾害识别分类方法,即利用无人机多视角序列影像重构裸露边坡三维实景模型,并将不同时期的边坡三维模型统一在相同的坐标系内。经试验验证,重建模型精度优于2 cm,基于点云与点云比较算法的三维点云数据变化检测算法,能够分析两个时期点云模型的细微差异,通过在三维实景模型中进行标记,结合PointNet++分类神经网络算法自制点云数据集,成功地实现对标记区域的识别与分类,从而实现边坡滑坡、坍塌、落石等灾害场景的智能化识别。

关键词: 无人机倾斜摄影, 边坡灾害识别, 三维重建, 变化监测

Abstract: In order to overcome the defects of traditional manual slope investigation methods such as low efficiency, high risk and difficulty, the 3D reconstruction of slopes and disaster identification and classification method of UAV tilt photography is adopted for high and steep exposed slopes in this paper. The UAV multi-view sequence images are used to reconstruct the 3D realistic model of exposed slopes and unify the 3D models of slopes in different periods in the same coordinate system. The accuracy of the reconstructed model is better than 2 cm after experimental verification. The 3D point cloud data change detection algorithm based on point cloud and point cloud comparison algorithm analyzes the subtle differences between the point cloud models of two different periods and marks them in the 3D real-view model, and combines the PointNet++ classification neural network algorithm with the homemade point cloud data set to successfully realize the identification as well as classification of the marked areas, so as to realize the identification of slope landslides, The intelligent recognition of disaster scenes such as landslide, collapse and rockfall is successfully realized.

Key words: UAV tilt photography, slope hazard identification, 3D reconstruction, change monitoring

中图分类号:

P237

王宇昊, 李登华, 丁勇. 无人机倾斜摄影测量技术支持下的裸露边坡表面变化识别[J]. 测绘通报, 2023, 0(8): 45-50.

WANG Yuhao, LI Denghua, DING Yong. Surface change identification of exposed slope based on UAV inclined photogrammetry[J]. Bulletin of Surveying and Mapping, 2023, 0(8): 45-50.

参考文献

[1] 陈兰兰,夏益强,肖海平,等. 露天矿边坡稳定性监测方法研究现状及进展[J]. 测绘通报,2022(5):7-13.
[2] 袁成海,桑运龙,杨流家. 基于亚像素圆心检测法的边坡变形监测预警系统[J]. 公路交通科技,2011,28(12):50-56.
[3] ZHAO S,KANG F,LI J. Displacement monitoring for slope stability evaluation based on binocular vision systems[J]. Optik,2018,171:658-671.
[4] 焦泽珍,李静涛,焦步青. 基于智能全站仪的矿区边坡监测三维可视化方法[J]. 露天采矿技术,2015,30(10):12-14.
[5] 刘超,高井祥,王坚,等. GPS/伪卫星技术在露天矿边坡监测中的应用[J]. 煤炭学报,2010,35(5):755-759.
[6] 何小钰,闫昕,郭毅霖,等. 基于北斗卫星的公路边坡实时监测系统设计与实现[J]. 公路交通科技(应用技术版),2013(6):53-55.
[7] 司梦元,周银,郭杰明,等. 基于三维激光扫描技术的高边坡变形监测分析[J]. 科学技术与工程,2020,20(19):7922-7927.
[8] PARWATA I N S,NAKASHIMA S,SHIMIZU N,et al. Effect of digital elevation models on monitoring slope displacements in open-pit mine by differential interferometry synthetic aperture radar[J]. Journal of Rock Mechanics and Geotechnical Engineering,2020,12(5):1001-1013.
[9] 万忠明,王亚文,范子义. 无人机倾斜摄影技术在边坡监测中的应用[J]. 测绘通报,2022(6):170-172.
[10] ZHAO S,KANG F,LI J,et al. Structural health monitoring and inspection of dams based on UAV photogrammetry with image 3D reconstruction[J]. Automation in Construction,2021,130:103832.
[11] 杨超,杨鹏,吕文生,等. 基于无人机摄影测量的尾矿坝边坡表面变形监测[J]. 中国安全生产科学技术,2021,17(5):5-11.
[12] 贺鹏,刘奇,王通,等. 基于无人机倾斜摄影技术的铁路边坡危岩落石运动特性分析[J]. 铁道标准设计,2021,65(12):1-7.
[13] 靳远成,赵鹏辉,薄雾,等. 基于无人机影像的边坡精细化建模及稳定性分析[J]. 水利与建筑工程学报,2020,18(6):178-183.
[14] YASUTAKA F,JEAN P. Accurate,dense,and robust multiview stereopsis[C]//Proceedings of 2007 IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis:IEEE,2010.
[15] CHARLES Q R,SU Hao,MO Kaichun,et al. PointNet:deep learning on point sets for 3D classification and segmentation[C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu:IEEE,2017.
[16] CARVALHO L E,VON WANGENHEIM A. 3D object recognition and classification:a systematic literature review[J]. Pattern Analysis and Applications,2019,22:1243-1292.
[17] BESL P J,MCKAY N D. A method for registration of 3D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1992,14(3):239-256.
[18] QI C R,YI Li,SU Hao,et al. PointNet++:deep hierarchical feature learning on point sets in a metric space[C]//Proceedings of the 31st International Conference on Neural Information Processing Systems.[S.l.]:NIPS,2017.

无人机倾斜摄影测量技术支持下的裸露边坡表面变化识别

Surface change identification of exposed slope based on UAV inclined photogrammetry

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