@article{sieberth_motion_2014,
	title = {Motion blur disturbs – the influence of motion-blurred images in photogrammetry},
	volume = {29},
	issn = {1477-9730},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/phor.12082},
	doi = {10.1111/phor.12082},
	abstract = {Unmanned aerial vehicles (UAVs) have become an interesting and active research topic for photogrammetry. Current research is based on images 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. Images with precisely known motion blur were produced to determine the effect. It was found that even small blurs affect normal photogrammetric processes significantly. Although operator intervention might be time consuming, it can ensure that the results are still of acceptable accuracy.},
	language = {en},
	number = {148},
	urldate = {2022-09-01},
	journal = {The Photogrammetric Record},
	author = {Sieberth, T. and Wackrow, R. and Chandler, J. H.},
	year = {2014},
	note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/phor.12082},
	keywords = {UAV, automation, blur, bundle adjustment, camera calibration, image processing, photogrammetry},
	pages = {434--453},
}

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