|Table of Contents|

Study on the Influencing Factors of Spatial Distribution of Errors in UAV-Based Terrain Modeling(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2023年02期
Page:
44-53
Research Field:
地理学
Publishing date:

Info

Title:
Study on the Influencing Factors of Spatial Distribution of Errors in UAV-Based Terrain Modeling
Author(s):
Lu Wangda1; 2; Wang Chun2; 3; Dai Wen1; 4; Qian Wei1; Li Min3; Wei Hong5; Yang Xin5
(1.School of Remote Sensing and Geomatics Engineering,Nanjing University of Information Science and Technology,Nanjing211800,China)
(2.Anhui Province Key Laboratory of Physical Geographical Environment,Chuzhou239000,China)
(3.School of Geographic Information and Tourism,Chuzhou University,Chuzhou239000,China)
(4.School of Geographical Sciences,Nanjing University of Information Science and Technology,Nanjing211800,China)
(5.School of Geography,Nanjing Normal University......)
Keywords:
consumer UAV;  terrain modeling;  image collection strategies;  spatial distribution of errors;  GCPs
PACS:
P231
DOI:
10.3969/j.issn.1001-4616.2023.02.006
Abstract:
With the rapid development of UAVs, it has been widely used in the field of geoscience. A large number of previous studies have analyzed the various factors that affect the accuracy of UAV photogrammetry with RMSE as the accuracy evaluation index. However, terrain modeling errors based on UAV photogrammetry are often distributed in space, and RMSE cannot reflect the spatial distribution characteristics of errors. Thus, from the perspective of the spatial distribution of errors, this paper analyzes the influence of camera angle, flight height and the number of ground control points on the elevation error and spatial distribution of terrain modeling by calculating spatial distribution of errors, Moran's Index of error, mean error and standard deviation error. Two small watershed areas on the Loess Plateau are selected as the study area. The experimental results show that:(1)Without ground control points, the error is greatly affect by the camera angle. Using higher oblique camera angles(higher than 10°)can not only reduce the overall error, but also improve the spatial distribution of errors and reduce the spatial autocorrelation of the error.(2)In the terms of flight height, although the increase of flight height(60-160 m)will increase the error, flight height has little effect on the spatial distribution of errors.(3)When there are GCPs, the use of GCPs reduces the overall error and optimizes the spatial distribution of errors. In the terms of overall error, a stable accuracy level can be achieved by using only a small number of GCPs. However, at this time, the spatial distribution of errors can continue to be optimized. More GCPs are required to make the spatial distribution of errors reach a stable level. This study provides a useful reference for terrain modeling using consumer UAV. In practical application, the measurement scheme and control points layout can be optimized according to the conclusions of this paper.

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Last Update: 2023-06-15