Influence of Different Illumination Conditions on 3D Reconstruction Accuracy of Erosion Gully

SUN Huan; WANG Ranghu; YANG Jiuchun; ZHANG Shuwen; YUE Shuping

doi:10.13870/j.cnki.stbcxb.2023.01.007

您当前的位置：

首页 >

文章列表页 >

Influence of Different Illumination Conditions on 3D Reconstruction Accuracy of Erosion Gully

更新时间：2025-03-12

- Influence of Different Illumination Conditions on 3D Reconstruction Accuracy of Erosion Gully
- Vol. 37, Issue 1, Pages: 45-51(2023)
- 作者机构：
  
  1. 山西大学黄土高原研究所,太原,030006
  2. 中国科学院东北地理与农业生态研究所,长春,130102
  3. 南京信息工程大学地理科学学院,南京,210044
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2023.01.007
  CLC： S252.9
- Published：2023
- 稿件说明：
移动端阅览
SUN Huan, WANG Ranghu, YANG Jiuchun, et al. Influence of Different Illumination Conditions on 3D Reconstruction Accuracy of Erosion Gully[J]. 2023, 37(1): 45-51.
DOI：

SUN Huan, WANG Ranghu, YANG Jiuchun, et al. Influence of Different Illumination Conditions on 3D Reconstruction Accuracy of Erosion Gully[J]. 2023, 37(1): 45-51. DOI： 10.13870/j.cnki.stbcxb.2023.01.007.

摘要

为深入探究不同光照条件下无人机重建三维模型精度的差异

在晴天以及阴天条件下

采用无人机摄影技术获得4期数字表面模型

并分别以RTK(real-time kinematic)测量的高程点和三维激光扫描仪获取的数字高程模型为基准

在典型剖面和整个侵蚀沟2个不同尺度上

分析在不同光照条件下侵蚀沟三维重建的高程精度差异。结果表明:(1)典型剖面尺度上

阴天构建的模型高程精度最高

晴天中午的高程模型精度相较于上午和下午的更高

而剖面阴影区高程误差比非阴影区增加0.138~0.217 m。(2)整个侵蚀沟尺度上

阴天条件下航测的高程模型的均方根误差达到最小仅为0.155 m;对于晴天的不同时段

中午航测所得的DSM高程误差最低

但仍比阴天DSM的高程误差高0.411 m;综合晴天的3期高程模型

阴影区高程误差比非阴影区增加0.250~0.346 m。(3)从不同坡向来看

阳坡的高程误差最低

而阴影面积的增加导致其他坡向误差进一步加大。光照产生的阴影显著降低高程模型精度

研究结果可为基于无人机的侵蚀沟航测制图研究提供参考。

Abstract

In order to further explore the differences in accuracy of UAV-derived 3D models under different lighting conditions

four phases of digital surface models were constructed by UAV photography technology under sunny and cloudy conditions

and elevation points measured by RTK (real-time kinematic) and digital elevation model obtained by 3D laser scanner were taken as benchmark

respectively. At the typical section and the entire erosion gully scale

the difference in elevation accuracy of 3D reconstruction of erosion gully under different lighting conditions was analyzed. The results showed that: (1) At the typical section scale

the elevation accuracy of the model constructed on cloudy days was the highest

and the elevation accuracy of the model constructed at noon on sunny days was higher than that in the morning and afternoon

while the elevation error of the shaded area was 0.138~0.217 m higher than that in the non-shaded area. (2) At the entire erosion gully scale

the root mean square error of the aerial survey elevation model on cloudy days was only 0.155 m

which was the minimum. For different periods of sunny days

the elevation error of DSM obtained by UAV survey at noon was the lowest

but it was still 0.411 m higher than that of DSM on cloudy days. Based on the three elevation models of sunny days

the elevation error in the shaded area was 0.250~0.346 m higher than that in the non-shaded area. (3) From different slope aspects

the elevation error of sunny slope was the lowest

while the increasing of shadow area led to the further increase of other slope aspects errors. The results showed that the shadow caused by illumination significantly reduced the accuracy of the elevation model

which could provide a reference for the research of aerial mapping of erosion gully based on UAV.

关键词

Keywords

references

李镇,秦伟,齐志国,等.东北漫川漫岗和山地丘陵黑土区侵蚀沟形态特征遥感分析[J].农业工程学报,2019,35(14):133-140.

Di Stefano C, Ferro V, Pampalone V, et al. Field investigation of rill and ephemeral gully erosion in the Sparacia experimental area, South Italy[J].Catena,2013,101:226-234.

Yang S T, Guan Y B, Zhao C S, et al. Determining the influence of catchment area on intensity of gully erosion using high-resolution aerial imagery:A 40-year case study from the Loess Plateau, northern China[J].Geoderma,2019,347:90-102.

Azareh A, Rahmati O, Rafiei-Sardooi E, et al. Modelling gully-erosion susceptibility in a semi-arid region, Iran:Investigation of applicability of certainty factor and maximum entropy models[J].Science of the Total Environment,2019,655:684-696.

Pourghasemi H R, Yousefi S, Kornejady A, et al. Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling[J].Science of the Total Environment,2017,609:764-775.

Gudino-Elizondo N, Biggs T W, Castillo C, et al. Measuring ephemeral gully erosion rates and topographical thresholds in an urban watershed using unmanned aerial systems and structure from motion photogrammetric techniques[J].Land Degradation and Development,2018,29(6):1896-1905.

Gomez-Gutierrez A, Schnabel S, Berenguer-Sempere F, et al. Using 3D photo-reconstruction methods to estimate gully headcut erosion[J].Catena,2014,120(1):91-101.

夏晨真,张月.基于厘米级无人机影像的水土保持措施精准识别[J].水土保持学报,2020,34(5):111-118.

D'oleire-Oltmanns S, Marzolff I, Peter K, et al. Unmanned aerial vehicle (UAV) for monitoring soil erosion in Morocco[J].Remote Sensing,2012,4(11):3390-3416.

Šiljeg A, Domazetovi'c F, Mari'c I, et al. New method for automated quantification of vertical spatio-temporal changes within gully cross-sections based on very-high-resolution models[J].Remote Sensing,2021,13(2):321-348.

甄怀才,张兴义,杨薇,等.沟壁坡度对侵蚀沟三维重建误差的影响[J].水土保持学报,2020,34(3):61-66.

James M R, Robson S, D'Oleire-Oltmanns S, et al. Optimising UAV topographic surveys processed with structure-from-motion:Ground control quality, quantity and bundle adjustment[J].Geomorphology,2017,280:51-66.

李文达,闫启明,张尚弘,等.基于无人机和SfM的地貌数据采集精度影响研究[J].应用基础与工程科学学报,2019,27(6):1225-1234.

Dandois J P, Olano M, Ellis E C. Optimal altitude, overlap, and weather conditions for computer vision UAV estimates of forest structure[J].Remote Sensing,2015,7(10):13895-13920.

Stocker C, Eltner A, Karrasch P. Measuring gullies by synergetic application of UAV and close range photogrammetry:A case study from Andalusia, Spain[J].Catena,2015,132:1-11.

吴淑芳,刘勃洋,雷琪,等.基于三维重建技术的坡面细沟侵蚀演变过程研究[J].农业工程学报,2019,35(9):114-120.

易桂全,董一帆.不同光照条件对沟头小区不同部位的无人机影像DEM的影响//中国水土保持学会,台湾中华水土保持学会.2017年海峡两岸水土保持学术研讨会论文集.成都,2017:108-114.

周小荃,余宏亮,魏玉杰,等.无人机倾斜航空摄影监测崩岗侵蚀量变化的方法[J].农业工程学报,2019,35(21):51-59.

Wang R H, Sun H, Yang J C, et al. Quantitative evaluation of gully erosion using multitemporal UAV data in the southern black soil region of Northeast China:A case study[J].Remote Sensing,2022,14(6):1479-1492.

赵文强,林舟.SfM精细表面测量:分辨率和精度的评估及误差分析[J].地理与地理信息科学,2016,32(6):25-31.

Giménez R, Marzolff I, Campo M, et al. Accuracy of high-resolution photogrammetric measurements of gullies with contrasting morphology[J].Earth Surface Processes and Landforms,2009,34(14):1915-1926.

田新光,张继贤,张永红.利用QuickBird影像的阴影提取建筑物高度[J].测绘科学,2008,33(2):88-89.

梁永侦,潘斌,郭小明,等.基于LAB颜色空间的图像阴影检测与去除方法[J].计算机与现代化,2019(10):88-93.

Views

881

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research Progress on Identification and Extraction Methods of Soil and Water Conservation Measures

Study on Physical and Chemical Properties and Erodibility of Soil in Different Parts of Erosion Gully in the Mountainous Area of South Ningxia

Changes and Influencing Factors of Erosion Gully in Wangmaogou Watershed in the Last 50 Years

Influence of Gully Sidewall Slope Steepness on the Error of 3D Reconstruction in the Erosion Gully

Related Author

CHEN Yan

REN Yiling

TIAN Pei

ZHAO Min

SUN Yarong

CHEN Yunming

WANG Yajuan

PEI Zhilin

Related Institution

College of Urban and Environmental Sciences, Key Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University

State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling

Institute of Soil and Water Conservation, CAS&MWR, Yangling

Research Center of Soil and Water Conservation and Ecological Environment, CAS and Ministry of Education, Yangling

University of Chinese Academy of Sciences

⁰