Accuracy Assessment of DEM from UAV and TanDEM-X Imagery

被引:0
|
作者
Rusli, Noradila [1 ]
Majid, M. Rafee [1 ]
Razali, Nur Fakihin Auni A. [2 ]
Yaacob, Nur Fatma Fadilah [2 ]
机构
[1] Univ Teknol Malaysia, Fac Built Environm & Surveying, Johor Baharu, Malaysia
[2] Univ Teknol Malaysia, Fac Architecture Planning & Surveying, GREENTech, Arau, Malaysia
来源
2019 IEEE 15TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS (CSPA 2019) | 2019年
关键词
UAV; TanDEM-X; DEM; elevation accuracy; correlation; RMSE;
D O I
10.1109/cspa.2019.8696088
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Digital Elevation Model (DEM) is now becoming a common method for modelling the earth surface for various purposes. It is becoming more so with the widespread use of Unmanned Aerial Vehicle (UAV) for data capture. With a similar purpose to the use of UAV, TanDEM-X satellite images are also able to capture the information about the earth surface. It would therefore be interesting to compare the accuracies of both methods and that became the aim of this paper. The DEM from UAV was generated using Agisoft PhotoScan software. Using ArcGIS, the study made the comparison based on the elevation data extracted from verification points and structure of Triangulation Irregular Network (TIN). The result showed that the DEM extracted using UAV had a better accuracy compared to TanDEM-X product. Expectedly, both are positively correlated with R-2 = 0.7992 and therefore both can be used with reliable accuracy.
引用
收藏
页码:127 / 131
页数:5
相关论文
共 50 条
  • [41] TanDEM-X DEM: Comparative performance review employing LIDAR data and DSMs
    Vassilaki, Dimitra I.
    Starnos, Athanassios A.
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 160 : 33 - 50
  • [42] TanDEM-X Edited DEM: Automated Global Void Filling and Water Flattening
    Bachmann, Markus
    Gonzalez, Carolina
    Bueso-Bello, Jose-Luis
    Rizzoli, Paola
    Zink, Manfred
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 5425 - 5428
  • [43] TIDAL FLAT DIGITAL EVELVATION MODEL (DEM) CONSTRUCTION BY MEANS OF TANDEM-X
    Lee, Seung-Kuk
    Ryu, Joo-Hyung
    Lee, Yoon-Kyung
    Kim, Kye-Lim
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 340 - 341
  • [44] TerraSAR-X and TanDEM-X After 13 Years of Joint SAR and DEM Mission
    Bachmann, Markus
    Bojarski, Allan
    Boeer, Johannes
    Buckreuss, Stefan
    Grigorov, Christo
    Hajnsek, Irena
    Kahle, Ralph
    Kraus, Thomas
    Klenk, Patrick
    Mueller, Kay
    Steinbrecher, Ulrich
    Schandri, Maximilian
    Zink, Manfred
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 1325 - 1328
  • [45] THE 0.4 ARC-SEC TANDEM-X INTERMEDIATE DEM WITH RESPECT TO THE SRTM AND ASTER GLOBAL DEMS
    Vassilaki, D. I.
    Stamos, A. A.
    PIA15+HRIGI15 - JOINT ISPRS CONFERENCE, VOL. I, 2015, 40-3 (W2): : 253 - 259
  • [46] An assessment of TanDEM-X GlobalDEM over rural and urban areas
    Koudogbo, Fifame N.
    Duro, Javier
    Huber, Martin
    Rudari, Roberto
    Eddy, Andrew
    Lucas, Richard
    SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XIV, 2014, 9243
  • [47] SYNERGY OF TANDEM-X DEM DIFFERENCING AND INPUT-OUTPUT METHOD FOR GLACIER MONITORING
    Rott, Helmut
    Wuite, Jan
    Floricioiu, Dana
    Nagler, Thomas
    Scheiblauer, Stefan
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 5216 - 5219
  • [48] TANDEM-X DSM UNCERTAINTY MEASURES AND DEMONSTRATIONS
    Rossi, Cristian
    Fritz, Thomas
    Eineder, Michael
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 3830 - 3833
  • [49] THE TANDEM-X SPACE SEGMENT
    Giese, Christoph
    Ulrich, Dieter
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 2294 - 2297
  • [50] Evaluation of DEM generation based on Interferometric SAR using TanDEM-X data in Tokyo
    Avtar, Ram
    Yunus, Ali P.
    Kraines, Steven
    Yamamuro, Masumi
    PHYSICS AND CHEMISTRY OF THE EARTH, 2015, 83-84 : 166 - 177