47. Analysis of camera orientation variation in airborne photogrammetry: images under tilt (roll‑pitch‑yaw) angles

B. RuzgienŽ

Vilnius Gediminas Technical University, Vilnius, Lithuania

E-mail: birute.ruzgiene@vgtu.lt

(Received 14 March 2014; received in revised form 25 May 2014; accepted 26 May 2014)

Abstract. Taking images for airborne photogrammetry, tilt angles (drifts) variations of camera are resulting to objects positions on the images therefore influence to correctness and accuracy of produced geodata. Several experiments have been done for investigation of cameraís roll‑pitch‑yaw angles determination regarding to technical flying means orientation in the space. Using aerial triangulation technique, exterior orientation parameters of each image from entire flight strip Ė projection center coordinates and image tilt angles with estimated accuracy are presented. Results show coincidences or discrepancies to requirements specified in aerial photography regulations. In order to investigate deflections of cameraís tilts, stereo pair of images has been processed using airborne photogrammetric approach and different software. Two digital photogrammetric software (DDPS and LISA PHOTO) used in experimental image orientation operates on particular algorithms. Determined values of exterior orientation parameters differ not significantly. Exterior orientation of images gained by Unmanned Aerial Vehicle (UAV) with mounted CCD camera has been done. As shows analysis, images from UAV Photogrammetry are under marketable tilts. Using a certain number of Ground Control Points (GCP) measured by GPS, exterior orientation was not possible; the results not meet the accuracy requirements.

Keywords: photogrammetry, images, exterior orientation, UAV, vibration, deflections, tilts.

References

[1]        Wolf R., Dewitt A. Elements of Photogrammetry with Application in GIS. 3rd edition, USA McGraw-Hill, 2000.

[2]        Konecny G. Geoinformation: Remote Sensing, Photogrammetry and Geographical Information Systems. London and New York, Taylor and Francis, 2003.

[3]        UAV Systems-Unmanned Aerial Photography. http://www.uavsystems.com.au/.

[4]        Eisenbeiss H. UAV photogrammetry. ETH Zurich, Switzerland, Mitteilungen, 2009.

[5]        Haala N., Cramer M., Weimer F., Trittler M. Performance test on UAV-based photogrammetric data collection. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 38‑1/C22, 2011, p. 1‑6.

[6]        Veprik A. Vibration protection of critical components of electronic equipment in harsh environmental conditions. Journal of Sound and Vibration, Vol. 259, Issue 1, 2003, p. 161‑175.

[7]        Plasencia G., Rodríguez M., Rivera S., Lůpez Á. Modelling and analysis of vibrations in a UAV helicopter with a vision system. International Journal of Advanced Robotic System, Vol. 9, 2012, p. 1‑9.

[8]        Nurminen K., Karjalainen M., Yu X., Hyyppš J., Honkavaara E. Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 83, 2013, p. 10‑115.

[9]        Rock G., Ries J., Udelhoven T. Sensitivity analysis of UAV-photogrammetry for creating digital elevation models (DEM). International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 38‑1/C22, 2011, p. 69‑73.

[10]     Manual of Photogrammetry. Edited by Chris McGlone, Fifth Edition, American Society for Photogrammetry and Remote Sensing, USA, 2004.

[11]     RuzgienŽ B. Photogrammetry. Vilnius, Technika, 2008, (in Lithuanian).

[12]     RuzgienŽ B., řalnierukas A. Aerial triangulation using results from kinematic GPS method. Geodesy and Cartography. Vol. 24, Issue 1, 1998, p. 16‑25, (in Lithuanian).

[13]     RuzgienŽ B. Requirements for aerial photography. Geodesy and Cartography. Vol. 30, Issue 3, 2004, p. 75‑79.

[14]     RuzgienŽ B., Kaczynski R. Photographic mission specification for mapping urban territories at a large scale. The 6th International Conference Environmental Engineering, Vol. 2, 2005, p. 993‑1005.

[15]     Linder W. Digital Photogrammetry. A practical Course. Springer‑Verlag, Berlin, Heidelberg, 2009.

[16]     Donnay J. P., Kaczynski R. Didactic and digital photogrammetric software (DDPS). University of Liege, Belgium; Institute of Geodesy and Cartography, Warszawa, Poland, 2005.

Cite this article

RuzgienŽ B. Analysis of camera orientation variation in airborne photogrammetry: images under tilt (roll-pitch-yaw) angles. Journal of Measurements in Engineering, Vol. 2, Issue 2, 2014, p. 95‑102.

 

Journal of Measurements in Engineering. June 2014, Volume 2, Issue 2
© JVE International Ltd. ISSN Print 2335-2124, ISSN Online 2424-4635, Kaunas, Lithuania