Skip to main content

2023 | OriginalPaper | Buchkapitel

Elevation Data Acquisition Accuracy Assessment for ESRI Drone2Map, Agisoft Metashape, and Pix4Dmapper UAV Photogrammetry Software

verfasst von : Deepak Tyagi, Vishal Mishra, Harshit Verma

Erschienen in: Proceedings of UASG 2021: Wings 4 Sustainability

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Whether planning urban development, conducting a hydrological construction in different terrain conditions, or analyzing terrain features for oil and gas exploration: accurate elevation information is vital. Digital Terrain Model (DTM) and Digital Surface Model (DSM) is the elevation model that provides elevation information of terrain and earth features (object), respectively. This study aims to assess the elevation accuracy of some of the most preferred Uncrewed Aerial Vehicle (UAV) data processing software from ESRI, Pix4D, and Agisoft Photoscan. In this study, DJI Phantom 4 is used to collect 147 very high-resolution overlapped images in the selected study area (Department of Civil Engineering, IIT-Roorkee, India) at the defined height. Collected images are processed using all the selected platform elevation datasets, i.e. Digital Surface Model (DSM) is generated. Vertical elevation error is estimated by elevation profile and statistical comparisons of UAV-derived elevation in the DSM datasets. This study helps to select the best UAV data processing software for the project that requires high elevation accuracy in topographical mapping or urban object utilization.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
3.
Zurück zum Zitat Metrology V, Eisenbeiss H, Zhang L, Sensing R (n.d.) Comparison of DSMs generated from mini UAV imagery and terrestrial laser scanner in a cultural heritage application, pp 90–96 Metrology V, Eisenbeiss H, Zhang L, Sensing R (n.d.) Comparison of DSMs generated from mini UAV imagery and terrestrial laser scanner in a cultural heritage application, pp 90–96
4.
Zurück zum Zitat Remondino F, Barazzetti L, Nex F, Scaioni M, Sarazzi D (2011) UAV photogrammetry for mapping and 3d modeling – current status and future perspectives XXXVIII(September) 14–16 Remondino F, Barazzetti L, Nex F, Scaioni M, Sarazzi D (2011) UAV photogrammetry for mapping and 3d modeling – current status and future perspectives XXXVIII(September) 14–16
5.
Zurück zum Zitat Tiwari A, Sharma S, Jain K (2017) Emerging opportunities and challenges in UAV enabled Earth observations and remote sensing technology (December) Tiwari A, Sharma S, Jain K (2017) Emerging opportunities and challenges in UAV enabled Earth observations and remote sensing technology (December)
6.
Zurück zum Zitat Tiwari A, Dixit A (2015) Unmanned aerial vehicle and geospatial technology pushing the limits of development. Am J Eng Res (AJER) 4(01):16–21. www.ajer.org Tiwari A, Dixit A (2015) Unmanned aerial vehicle and geospatial technology pushing the limits of development. Am J Eng Res (AJER) 4(01):16–21. www.​ajer.​org
7.
Zurück zum Zitat Barazzetti L, Remondino F, Scaioni M, Brumana R, Adjustment B, Vehicles UA (2010) Fully automatic uav image-based sensor orientation Barazzetti L, Remondino F, Scaioni M, Brumana R, Adjustment B, Vehicles UA (2010) Fully automatic uav image-based sensor orientation
8.
Zurück zum Zitat Leuven KU, Wetenschappen FT, Esat D, Psi A (1999) Self-calibration and metric 3D reconstruction from uncalibrated self-calibration and metric 3D reconstruction from uncalibrated Leuven KU, Wetenschappen FT, Esat D, Psi A (1999) Self-calibration and metric 3D reconstruction from uncalibrated self-calibration and metric 3D reconstruction from uncalibrated
12.
Zurück zum Zitat Agency ES (2006) Helicopter UAV for photogrammetry and rapid response, pp 2–5 Agency ES (2006) Helicopter UAV for photogrammetry and rapid response, pp 2–5
13.
Zurück zum Zitat Engel A, Teichert B (n.d.) The photogrammetric potential of low-cost uavs in forestry and agriculture Engel A, Teichert B (n.d.) The photogrammetric potential of low-cost uavs in forestry and agriculture
14.
Zurück zum Zitat Alidoost F, Arefi H (2017) Comparison of UAS-based photogrammetry software for 3d point cloud generation : a survey over a historical site, IV(October), 14–15 Alidoost F, Arefi H (2017) Comparison of UAS-based photogrammetry software for 3d point cloud generation : a survey over a historical site, IV(October), 14–15
Metadaten
Titel
Elevation Data Acquisition Accuracy Assessment for ESRI Drone2MapsoftwareDrone2Map, Agisoft MetashapesoftwareAgisoft Metashape, and Pix4Dmapper UAV Photogrammetry Software
verfasst von
Deepak Tyagi
Vishal Mishra
Harshit Verma
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-19309-5_9