Accuracy assessment of RTK/PPK UAV-photogrammetry projects using differential corrections from multiple GNSS fixed base stations

被引:14
|
作者
Martinez-Carricondo, Patricio [1 ,2 ]
Aguera-Vega, Francisco [1 ,2 ]
Carvajal-Ramirez, Fernando [1 ,2 ]
机构
[1] Univ Almeria, Mediterranean Res Ctr Econ & Sustainable Dev CIME, Dept Engn, Agrifood Campus Int Excellence,CeiA3, Almeria, Spain
[2] Univ Almeria, Peripheral Serv Res & Dev Based Drones, Almeria, Spain
关键词
UAV; photogrammetry; RTK; PPK; direct georeferencing; multiple fixed base stations; UNMANNED AERIAL VEHICLE; PROCESSING KINEMATIC PPK; PHANTOM; 4; RTK; AREA; RECONSTRUCTION; PRODUCTS; IMAGERY; SCALE;
D O I
10.1080/10106049.2023.2197507
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Unmanned aerial vehicles (UAVs) equipped with global navigation satellite system-real-time kinematic (GNSS RTK) receivers allow direct georeferencing of the photogrammetric project without using ground control points (GCPs). However, it is necessary to establish the correct methodologies to reduce the errors inherent in these systems, i.e. to reduce the systematic error of the elevation data. For this purpose, multiple GNSS fixed base stations have been used simultaneously. The results showed how the fact of using different bases and averaging their corrections allows to obtain results that improve the altimetric accuracy without the need to use GCPs or oblique photographs. For flight altitudes of 50 m, improvements in altimetric accuracy of 14% were obtained, while for flight altitudes of 70 and 90 m, the improvements in altimetric accuracy reached 35%. Regarding planimetric accuracy, no significant improvements have been found. However, the total errors are similar to those obtained with various combinations of GCPs and closed to the ground sampling distance (GSD) of the photogrammetric project.
引用
收藏
页数:16
相关论文
共 6 条
  • [1] Accuracy Assessment of the eBee Using RTK and PPK Corrections Methods as a Function of Distance to a GNSS Base Station
    Cerreta, Joseph
    Thirtyacre, David
    Miller, Peter
    Burgess, Scott S.
    Austin, William J.
    INTERNATIONAL JOURNAL OF AVIATION AERONAUTICS AND AEROSPACE, 2023, 10 (03):
  • [2] Quality Assessment of UAV Data using Multiple RTK Reference Stations
    Singh, Chandra Has
    Rai, Abhishek
    Harshit
    Mishra, Vishal
    Kushwaha, Sunni Kanta Prasad
    Jain, Kamal
    2023 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE FOR GEOANALYTICS AND REMOTE SENSING, MIGARS, 2023, : 186 - 189
  • [3] Monitoring and Quantifying Soil Erosion and Sedimentation Rates in Centimeter Accuracy Using UAV-Photogrammetry, GNSS, and t-LiDAR in a Post-Fire Setting
    Alexiou, Simoni
    Papanikolaou, Ioannis
    Schneiderwind, Sascha
    Kehrle, Valerie
    Reicherter, Klaus
    REMOTE SENSING, 2024, 16 (05)
  • [4] Determine stormwater pond geometrics and hydraulics using remote sensing technologies: a comparison between airborne-LiDAR and UAV-photogrammetry field validation against RTK-GNSS
    Zhao, Guohan
    Rasmussen, Michael R.
    Larsen, Kim G.
    Srba, Jiri
    Nielsen, Thomas D.
    Goorden, Martijn A.
    Qian, Weizhu
    Nielsen, Jesper E.
    JOURNAL OF HYDROINFORMATICS, 2023, 25 (04) : 1256 - 1275
  • [5] Image Mapping Accuracy Evaluation Using UAV with Standalone, Differential (RTK), and PPP GNSS Positioning Techniques in an Abandoned Mine Site
    Kim, Hanjin
    Hyun, Chang-Uk
    Park, Hyeong-Dong
    Cha, Jongmun
    SENSORS, 2023, 23 (13)
  • [6] UAS Point Cloud Accuracy Assessment Using Structure from Motion-Based Photogrammetry and PPK Georeferencing Technique for Building Surveying Applications
    Martinez, Jhonattan G.
    Albeaino, Gilles
    Gheisari, Masoud
    Volkmann, Walter
    Alarcon, Luis F.
    JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2021, 35 (01)