Three-Dimensional Positional Accuracy Analysis of UAV Imagery Using Ground Control Points Acquired from Multisource Geospatial Data |
Park, Soyeon
(Department of Civil and Environmental Engineering, Yonsei University)
Choi, Yoonjo (Department of Civil and Environmental Engineering, Yonsei University) Bae, Junsu (Department of Civil and Environmental Engineering, Yonsei University) Hong, Seunghwan (Stryx, Inc.) Sohn, Hong-Gyoo (Civil and Environmental Engineering, Yonsei University) |
1 | Aguera-Vega, F., F. Carvajal-Ramirez, and P. Martinez-Carricondo, 2017. Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle, Measurement: Journal of the International Measurement Confederation, 98: 221-227. DOI |
2 | Ai, M., Q. Hu, J. Li, M. Wang, H. Yuan, and S. Wang, 2015. A robust photogrammetric processing method of low-altitude UAV images, Remote Sensing, 7(3): 2302-2333. DOI |
3 | Boccardo, P., F. Chiabrando, F. Dutto, F. G. Tonolo, and A. Lingua, 2015. UAV deployment exercise for mapping purposes: Evaluation of emergency response applications, Sensors, 15(7): 15717-15737. DOI |
4 | Coveney, S. and K. Roberts, 2017. Lightweight UAV digital elevation models and orthoimagery for environmental applications: data accuracy evaluation and potential for river flood risk modelling, International Journal of Remote Sensing, 38(8-10): 3159-3180. DOI |
5 | Escobar Villanueva, J., L. Iglesias Martinez, and J. I. Perez Montiel, 2019. DEM generation from fixedwing UAV imaging and LiDAR-derived ground control points for flood estimations, Sensors, 19(14): 3205. DOI |
6 | Forlani, G., E. Dall'Asta, F. Diotri, U. M. di Cella, R. Roncella, and M. Santise, 2018. Quality assessment of DSMs produced from UAV flights georeferenced with on-board RTK positioning, Remote Sensing, 10(2): 311. DOI |
7 | Gholami Farkoushi, M., 2018. Data Fusion Technique for Laser Scanning Data and UAV Images to Construct Dense Geospatial Dataset, Master Thesis, Yonsei University, Seoul, Republic of Korea. |
8 | Nex, F., D. Duarte, A. Steenbeek, and N. Kerle, 2019. Towards real-time building damage mapping with low-cost UAV solutions, Remote Sensing, 11(3): 1-14. |
9 | Nho, H., 2018. Fast Geocoding Processing for Low-Cost Unmanned Aerial Vehicle Imagery, Yonsei University, Seoul, Republic of Korea. |
10 | Sanz-Ablanedo, E., J. H. Chandler, J. R. Rodriguez-Perez, and C. Ordonez, 2018. Accuracy of Unmanned Aerial Vehicle (UAV) and SfM photogrammetry survey as a function of the number and location of ground control points used, Remote Sensing, 10(10): 1606. DOI |
11 | Suh, J. and Y. Choi, 2017. Mapping hazardous mininginduced sinkhole subsidence using unmanned aerial vehicle (drone) photogrammetry, Environmental Earth Sciences, 76(4): 1-12. DOI |
12 | Tonkin, T. N. and N. G. Midgley, 2016. Ground-control networks for image based surface reconstruction: An investigation of optimum survey designs using UAV derived imagery and structure-from-motion photogrammetry, Remote Sensing, 8(9): 16-19. |
13 | Zekkos, D., J. Manousakis, W. Greenwood, and J. Lynch, 2016. Immediate UAV-enabled infrastructure reconnaissance following recent natural disasters: case histories from Greece, Proc. of 1st International Conference on Natural Hazards & Infrastructure, Chania, Greece, Jun. 28-30. |
14 | Goncalves, J. A. and R. Henriques, 2015. UAV photogrammetry for topographic monitoring of coastal areas, ISPRS Journal of Photogrammetry and Remote Sensing, 104: 101-111. DOI |
15 | Zimmerman, T., K. Jansen, and J. Miller, 2020. Analysis of UAS flight altitude and ground control point parameters on DEM accuracy along a complex, developed coastline, Remote Sensing, 12(14): 2305. DOI |