Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle

被引:203
作者
Aguera-Vega, Francisco [1 ,2 ]
Carvajal-Ramírez, Fernando [1 ,2 ]
Martinez-Carricondo, Patricio [3 ]
机构
[1] Univ Almeria, Dept Engn, Almeria, Spain
[2] Campus Excelencia Int Agroalimentario, CeiA3, Cordoba, Spain
[3] Drones Ingn Arquitectura & Medioambiente SL, Almeria, Spain
关键词
UAV; Photogrammetry; Georeferencing; Orthophoto; Accuracy evaluation; STRUCTURE-FROM-MOTION; UAV IMAGERY; LOW-COST; SYSTEMS; SITE; TOOL; SFM;
D O I
10.1016/j.measurement.2016.12.002
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Digital Surface Models and orthoimages at high spatial and temporal resolution and accuracy is of increasing importance for many applications. From several years ago phdtogrammetry-UAV is being used to produce these topographic products. The aim of this study is to analyse the influence of the number of Ground Control Points used for georeferencing on Digital Surface Model and orthoimage accuracies obtained with UAV-photogrammetry. In this purpose, 160 images were taken on a 17.64 ha surface at 120 m altitude above ground level, and five replications of photogramrrietric projects taking into account 4, 5, 6, 7, 8, 9, 10, 15, and 20 GCPs were made. Root Mean Square Error (RMSE) was used as accuracy measurement. Optimal results for RMSEx, RMSEy and RMSExy mean standard deviation values were reached for 15 GCPs: 3.3 +/- 0.346, 3.2 +/- 0.441, 4.6 +/- 0.340 and 4.5 +/- 0.169 cm respectively. Similar conclusions was derived for vertical accuracy: lower RMSEz mean standard deviation values were reached for 15 and 20 GCPs: 5.8 +/- 1.21 cm and 4.7 +/- 0.860 cm respectively. In view of these results maps at 1:150 scale and contour interval of 15 cm can be obtained from UAV-photogrammetry. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:221 / 227
页数:7
相关论文
共 36 条
  • [1] Aber JS, 2010, SMALL-FORMAT AERIAL PHOTOGRAPHY: PRINCIPLES, TECHNIQUES AND GEOSCIENCE APPLICATIONS, P1
  • [2] Agiiera-Vega F., 2016, J SURV ENG
  • [3] American Society for Photogrammetry and Remote Sensing (ASPRS), 1990, ASPRS ACC STAND LARG
  • [4] [Anonymous], 2009, Int. J. Image Process., DOI DOI 10.1007/S11270-006-2859-8
  • [5] Atkinson KB., 1996, CLOSE RANGE PHOTOGRA
  • [6] Unmanned aerial systems for photogrammetry and remote sensing: A review
    Colomina, I.
    Molina, P.
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 92 : 79 - 97
  • [7] Cryderman C., 2014, GEOMATICA, V68, P309, DOI [10.5623/cig2014-40, DOI 10.5623/CIG2014-405]
  • [8] Elmer A., 2014, LAND, V40, P741
  • [9] IMAGE-BASED MODELLING FROM UNMANNED AERIAL VEHICLE (UAV) PHOTOGRAMMETRY: AN EFFECTIVE, LOW-COST TOOL FOR ARCHAEOLOGICAL APPLICATIONS
    Fernandez-Hernandez, J.
    Gonzalez-Aguilera, D.
    Rodriguez-Gonzalvez, P.
    Mancera-Taboada, J.
    [J]. ARCHAEOMETRY, 2015, 57 (01) : 128 - 145
  • [10] Accurate, Dense, and Robust Multiview Stereopsis
    Furukawa, Yasutaka
    Ponce, Jean
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2010, 32 (08) : 1362 - 1376