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UAV image blur – its influence and ways to correct it

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conference contribution
posted on 09.10.2015, 10:01 by Till Sieberth, Rene Wackrow, Jim Chandler
Unmanned aerial vehicles (UAVs) have become an interesting and active research topic in photogrammetry. Current research is based on image sequences acquired by UAVs which have a high ground resolution and good spectral resolution due to low flight altitudes combined with a high-resolution camera. One of the main problems preventing full automation of data processing of UAV imagery is the unknown degradation effect of blur caused by camera movement during image acquisition. The purpose of this paper is to analyse the influence of blur on photogrammetric image processing, the correction of blur and finally, the use of corrected images for coordinate measurements. It was found that blur influences image processing significantly and even prevents automatic photogrammetric analysis, hence the desire to exclude blurred images from the sequence using a novel filtering technique. If necessary, essential blurred images can be restored using information of overlapping images of the sequence or a blur kernel with the developed edge shifting technique. The corrected images can be then used for target identification, measurements and automated photogrammetric processing.

History

School

  • Architecture, Building and Civil Engineering

Published in

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.

Volume

XL-1

Issue

W4

Pages

33 - 39 (7)

Citation

SIEBERTH, T., WACKROW, R. and CHANDLER, J.H., 2015. UAV image blur – its influence and ways to correct it. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. Toronto, ON, XL-1 (W4), pp. 33 - 39.

Publisher

ISPRS © Author(s)

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

Publication date

2015

Notes

This is a conference paper. It is distributed under the Creative Commons Attribution 3.0 License.

Language

en

Location

Toronto, ON