Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/16128

Title: Influence of blur on feature matching and a geometric approach for photogrammetric deblurring
Authors: Sieberth, Till
Wackrow, Rene
Chandler, Jim H.
Keywords: Photogrammetry
Computer Vision
Image Processing
Issue Date: 2014
Publisher: ISPRS
Citation: SIEBERTH, T., WACKROW, R. and CHANDLER, J., 2014. Influence of blur on feature matching and a geometric approach for photogrammetric deblurring. IN: Schindler, K. and Paparoditis, N. (eds). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3, 2014. ISPRS Technical Commission III Symposium, 5 – 7 September 2014, Zurich, Switzerland, pp.321-326.
Abstract: Unmanned aerial vehicles (UAV) have become an interesting and active research topic for photogrammetry. Current research is based on images acquired by a UAV, which have a high ground resolution and good spectral and radiometric resolution, due to the low flight altitudes combined with a high resolution camera. UAV image flights are also cost efficient and have become attractive for many applications including change detection in small scale areas. One of the main problems preventing full automation of data processing of UAV imagery is the degradation effect of blur caused by camera movement during image acquisition. This can be caused by the normal flight movement of the UAV as well as strong winds, turbulence or sudden operator inputs. This blur disturbs the visual analysis and interpretation of the data, causes errors and can degrade the accuracy in automatic photogrammetric processing algorithms. The aim of this research is to develop a blur correction method to deblur UAV images. Deblurring of images is a widely researched topic and often based on the Wiener or Richardson-Lucy deconvolution, which require precise knowledge of both the blur path and extent. Even with knowledge about the blur kernel, the correction causes errors such as ringing, and the deblurred image appears "muddy" and not completely sharp. In the study reported in this paper, overlapping images are used to support the deblurring process, which is advantageous. An algorithm based on the Fourier transformation is presented. This works well in flat areas, but the need for geometrically correct sharp images may limit the application. Deblurring images needs to focus on geometric correct deblurring to assure geometric correct measurements.
Description: This is a conference paper. It was originally published at: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/321/2014/isprsarchives-XL-3-321-2014.pdf
Version: Published
URI: https://dspace.lboro.ac.uk/2134/16128
Publisher Link: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/321/2014/isprsarchives-XL-3-321-2014.pdf
Appears in Collections:Conference Papers and Presentations (Architecture, Building and Civil Engineering)

Files associated with this item:

File Description SizeFormat
isprsarchives-XL-3-321-2014.pdfPublished version562.92 kBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.