The surface modelling based on UAV Photogrammetry and qualitative estimation

被引:106
|
作者
Ruzgiene, Birute [1 ,2 ]
Berteska, Tautvydas [2 ]
Gecyte, Silvija [2 ]
Jakubauskiene, Edita [2 ]
Aksamitauskas, Vladislovas Ceslovas [2 ]
机构
[1] Klaipeda State Univ Appl Sci, LT-91223 Klaipeda, Lithuania
[2] Vilnius Gediminas Tech Univ, Dept Geodesy & Cadastre, LT-10223 Vilnius, Lithuania
关键词
UAV; Photogrammetry; Georeferencing; Surface simulation; Orthophoto; Accuracy evaluation;
D O I
10.1016/j.measurement.2015.04.018
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Recently, the interest in Unmanned Aerial Vehicle (UAV) application in photogrammetric environment has increased in many countries. The fixed-wing UAV, the model of EPP-FPV with mounted digital camera Canon S100 was used as a platform for images acquisition. Implemented means are low-cost, mobile and simple. Digital photogrammetry technology with Pix4D software application has been applied for UAV images processing and area mapping. High quality of images is a significant factor for the efficiency and accuracy generating standard mapping products. The correctness of digital surface models and orthophotos mainly depend on camera resolution, flight height and ground control point (GCP) accuracy. The paper reports on investigations how number of GCPs used for UAV image transformation influences the mapping results. The demand of such investigations arises because the flight paths with a fixed wing UAV have general form, in contrast to classical paths which are pricewise straight lines, as well as the flight significantly depends on weather conditions (especially on wind) and the platform shows considerable tilt because of its light weight. The results of DSM accuracy investigation demonstrate the quality of UAV Photogrammetry product with the use of appropriate number of GCPs. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:619 / 627
页数:9
相关论文
共 50 条
  • [31] PHOTOGRAMMETRY WITH SURFACE-BASED IMAGES
    BATSON, RM
    APPLIED OPTICS, 1969, 8 (07): : 1315 - &
  • [32] An Integration of UAV-Based Photogrammetry and 3D Modelling for Rockfall Hazard Assessment: The Carcavos Case in 2018 (Spain)
    Gallo, Ilenia G.
    Martinez-Corbella, Monica
    Sarro, Roberto
    Iovine, Giulio
    Lopez-Vinielles, Juan
    Hernandez, Mario
    Robustelli, Gaetano
    Maria Mateos, Rosa
    Carlos Garcia-Davalillo, Juan
    REMOTE SENSING, 2021, 13 (17)
  • [33] EVALUATION AND MONITORING OF GEOTECHNICAL HAZARDS USING UAV BASED DIGITAL PHOTOGRAMMETRY
    Garcia Garcia, Hugo Alberto
    Prieto, Rafael
    Abello, Samuel
    PROCEEDINGS OF THE ASME INTERNATIONAL PIPELINE GEOTECHNICAL CONFERENCE, 2017, 2017,
  • [34] THE PRACTICAL APPLICATION OF UAV-BASED PHOTOGRAMMETRY UNDER ECONOMIC ASPECTS
    Sauerbier, M.
    Siegrist, E.
    Eisenbeiss, H.
    Demir, N.
    INTERNATIONAL CONFERENCE ON UNMANNED AERIAL VEHICLE IN GEOMATICS (UAV-G), 2011, 38-1 (C22): : 45 - 50
  • [35] The Evaluation of GPS techniques for UAV-based Photogrammetry in Urban Area
    Yeh, M. L.
    Chou, Y. T.
    Yang, L. S.
    XXIII ISPRS CONGRESS, COMMISSION I, 2016, 41 (B1): : 1079 - 1084
  • [36] Identification of unstable bedrock promontory on steep slope based on UAV photogrammetry
    Wei Cui
    Xuan-hao Wang
    Gui-ke Zhang
    Hong-bi Li
    Bulletin of Engineering Geology and the Environment, 2021, 80 : 7193 - 7211
  • [37] Automatic detection of stone pavement's pattern based on UAV photogrammetry
    Garilli, Erika
    Bruno, Nazarena
    Autelitano, Federico
    Roncella, Riccardo
    Giuliani, Felice
    AUTOMATION IN CONSTRUCTION, 2021, 122
  • [38] UAV-Based Photogrammetry and LiDAR for the Characterization of Ice Morphology Evolution
    Li, Teng
    Zhang, Baogang
    Xiao, Wen
    Cheng, Xiao
    Li, Zhenhong
    Zhao, Jian
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 : 4188 - 4199
  • [39] Open-source GIS application for UAV photogrammetry based on MicMac
    Duarte, L.
    Teodoro, A. C.
    Moutinho, O.
    Goncalves, J. A.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (8-10) : 3181 - 3202
  • [40] A Low Cost UWB Based Solution for Direct Georeferencing UAV Photogrammetry
    Masiero, Andrea
    Fissore, Francesca
    Vettore, Antonio
    REMOTE SENSING, 2017, 9 (05)