Accuracy assessment on low altitude UAV-borne photogrammetry outputs influenced by ground control point at different altitude

S. K. Nagendran,Wen Yan Tung,Mohd Ashraf Mohamad Ismail

Published 2018 in IOP Conference Series: Earth and Environment

ABSTRACT

Unmanned Aerial Vehicles (UAV) photogrammetry is as precise as conventional survey which able to produce centimetre accuracy. It is considerably quicker and gives brief portrayal of geography. Given ideal regulatory conditions this innovation will supersede current techniques for most mapping and studying applications. UAV can be an important technology to extract useful information of the earth surface in short period of time for example Digital Surface Models (DSM) and other information. The final products are highly dependent on the choice of values on various parameter for the flight planning, and for the processing of the data. The aim of this research is to study the effect of Ground Control Point (GCP) influence on the final accuracy of the output with difference flying altitude. All photogrammetric procedure was applied using Agisoft PhotoScan a Structure from motion (Sfm) software from aligning photos to build Digital Elevation Model (DEM) and georeferenced orthophoto. In this research, we have used total of 16 GCP’s where the coordinates measured with L1 RTK GPS receiver. Analysis was carried out to show the importance of GCP for mapping using low cost UAV. The analysis of both qualitative and quantitative were carried out to verify that the use of GCP is essential to produce a centimetre accuracy photogrammetric output. Utilization of GCP in mapping is significant because the output obtained from photogrammetry comes with actual measurements of the model that we have mapped.

PUBLICATION RECORD

  • Publication year

    2018

  • Venue

    IOP Conference Series: Earth and Environment

  • Publication date

    2018-07-31

  • Fields of study

    Geography, Physics, Engineering, Environmental Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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