Accuracy assessment of digital surface model and orthophoto derived from UAV photogrammetry

Shofiyatul Qoyimah, Yi-Hsing Tseng

Research output: Contribution to conferencePaper

Abstract

Unmanned Aerial Vehicle (UAV) Photogrammetry that provides meter to centimeter measurement accuracy can fill the gap between conventional airborne and very-high-resolution satellite imagery in mapping application. The availability of Digital Surface Model (DSM) and orthophoto at high spatial and temporal resolution and accuracy is important for all activities that require accurate topographic data sets. Accuracy assessment of DSM and orthophoto derived from UAV photogrammetry technique has been chosen as a main goal on this study. For this study, three data sets were carried out considering three flight altitudes (i.e., 200, 400 and 600 m). For each dataset, aerial images were acquired in north-south and east-west direction block. Three aerial triangulation different test sets were conducted based on georeferencing technique, used Real Time Kinematic (RTK) followed by Post Processing Kinematic (PPK) process only, control point (5GCP) only and its combination (RTK/PPK+5GCP). The UAV was a fixed-wing platform named eBee Plus SenseFly and the sensor was Sensor Optimized for Drone Application (S.O.D.A) camera by SenseFly company. Pix4Dmapper software were used to process aerial triangulation followed by DSM and orthophoto generation using 5 Ground Control Points and 27 check points. Check points ground coordinate accuracy were calculated using Root Mean Square Error which compared their coordinate calculated from aerial triangulation process, digitized from DSM and orthophoto through measured from geodetic survey. The best accuracy in horizontal and vertical direction can be achieved by flying UAV at 200 m altitude using any georeferencing technique except in vertical direction while use GCP only. Check point accuracy from DSM and orthophoto digitizing was worse than from aerial triangulation process. Due to the influence of aerial triangulation result, more careful experiment and analysis on it was mandatory conducted to see the possibility of using UAV photogrammetry as alternative measurement technique in the future.

Original languageEnglish
Publication statusPublished - 2017 Jan 1
Event38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017 - New Delhi, India
Duration: 2017 Oct 232017 Oct 27

Other

Other38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017
CountryIndia
CityNew Delhi
Period17-10-2317-10-27

Fingerprint

Photogrammetry
Unmanned aerial vehicles (UAV)
Triangulation
Antennas
Kinematics
Fixed wings
Satellite imagery
Sensors
Processing
Mean square error
Cameras
Availability
Industry
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Qoyimah, S., & Tseng, Y-H. (2017). Accuracy assessment of digital surface model and orthophoto derived from UAV photogrammetry. Paper presented at 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017, New Delhi, India.
Qoyimah, Shofiyatul ; Tseng, Yi-Hsing. / Accuracy assessment of digital surface model and orthophoto derived from UAV photogrammetry. Paper presented at 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017, New Delhi, India.
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Qoyimah, S & Tseng, Y-H 2017, 'Accuracy assessment of digital surface model and orthophoto derived from UAV photogrammetry' Paper presented at 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017, New Delhi, India, 17-10-23 - 17-10-27, .

Accuracy assessment of digital surface model and orthophoto derived from UAV photogrammetry. / Qoyimah, Shofiyatul; Tseng, Yi-Hsing.

2017. Paper presented at 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017, New Delhi, India.

Research output: Contribution to conferencePaper

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Qoyimah S, Tseng Y-H. Accuracy assessment of digital surface model and orthophoto derived from UAV photogrammetry. 2017. Paper presented at 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017, New Delhi, India.