地面控制点的数量、质量、水平和垂直分布对无人机测量定位精度的影响

IF 2.3 Q2 REMOTE SENSING
Dharshan Shylesh D S, Manikandan N, Sivasankar S, Surendran D, Jaganathan R, Mohan G
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引用次数: 0

摘要

地面控制点的数量和分布对无人机摄影测量的定位精度起着至关重要的作用。密集的GCP网络有助于获得良好的准确性。然而,建立一个密集网络的成本、时间和可行性都是具有挑战性的。因此,评估最小gcp及其最优分布是否能达到高精度是至关重要的。本研究利用0,3 - 11个GCP考察了数量、质量、水平和垂直分布的影响,以确定稀疏GCP网络的合适配置。通过在角落、边缘、中心和垂直方向分布gcp,实验了38种构型。此外,还使用了另外16种配置来了解不正确测量的gcp对定位精度的影响。水平和垂直均方根误差(RMSE)值从79个检查点计算,用于准确性评估。最初,在评估数量的影响时,较高的gcp数量产生较高的准确性,但使用4-5个gcp的特定配置使精度水平与9-11个gcp相似。在进一步的研究中,在角落分布少量gcp的构型比只分布在边缘或中心的gcp具有更好的精度。通过添加垂直分布的gcp, RMSEz显著降低±1.5 cm。结果表明,4-5个gcp的垂直分布和转角分布与8-11个gcp的RMSE值相当,证明了使用较少gcp时的理想分布。当使用稀疏的GCP时,较差的GCP质量导致定位精度较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of quantity, quality, horizontal and vertical distribution of ground control points on the positional accuracy of UAV survey

Quantity and distribution of Ground Control Points (GCPs) play a significant role in determining the positional accuracy of UAV photogrammetry. A dense GCP network helps in achieving good accuracy. However, the cost, time, and feasibility of setting up a dense network are challenging. Therefore, it is crucial to assess whether high accuracy can be achieved using minimal GCPs and its optimal distribution. This study investigated the effects of quantity, quality, horizontal, and vertical distribution using 0, 3–11 GCPs to identify a suitable configuration for a sparse GCP network. Thirty-eight configurations were experimented by distributing GCPs in the corners, edges, centre and vertically. Also, another sixteen configurations were used to understand the influence of incorrectly surveyed GCPs on positional accuracy. Horizontal and vertical Root Mean Square Error (RMSE) values were calculated from 79 Check Points for accuracy assessment. Initially, on assessing the effect of quantity, a higher count of GCPs produced high accuracy, but specific configurations using 4–5 GCPs rendered accuracy levels similar to 9–11 GCPs. On further investigation, configurations with few GCPs at the corners showed better accuracy than GCPs distributed only in the edge or centre. A significant reduction in RMSEz of ± 1.5 cm was witnessed by adding vertically distributed GCPs. Based on the results, configurations using 4–5 GCPs distributed vertically and at corners equalled the RMSE values of configurations using 8–11 GCPs, proving it to be an ideal distribution while using fewer GCPs. The poor quality of GCP resulted in low positional accuracy when a sparse number of GCPs were used.

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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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