Cargando…
Fast Orientation of Video Images of Buildings Acquired from a UAV without Stabilization
The aim of this research was to assess the possibility of conducting an absolute orientation procedure for video imagery, in which the external orientation for the first image was typical for aerial photogrammetry whereas the external orientation of the second was typical for terrestrial photogramme...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970005/ https://www.ncbi.nlm.nih.gov/pubmed/27347954 http://dx.doi.org/10.3390/s16070951 |
_version_ | 1782445890400681984 |
---|---|
author | Kedzierski, Michal Delis, Paulina |
author_facet | Kedzierski, Michal Delis, Paulina |
author_sort | Kedzierski, Michal |
collection | PubMed |
description | The aim of this research was to assess the possibility of conducting an absolute orientation procedure for video imagery, in which the external orientation for the first image was typical for aerial photogrammetry whereas the external orientation of the second was typical for terrestrial photogrammetry. Starting from the collinearity equations, assuming that the camera tilt angle is equal to 90°, a simplified mathematical model is proposed. The proposed method can be used to determine the X, Y, Z coordinates of points based on a set of collinearity equations of a pair of images. The use of simplified collinearity equations can considerably shorten the processing tine of image data from Unmanned Aerial Vehicles (UAVs), especially in low cost systems. The conducted experiments have shown that it is possible to carry out a complete photogrammetric project of an architectural structure using a camera tilted 85°–90° ([Formula: see text] or ω) and simplified collinearity equations. It is also concluded that there is a correlation between the speed of the UAV and the discrepancy between the established and actual camera tilt angles. |
format | Online Article Text |
id | pubmed-4970005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-49700052016-08-04 Fast Orientation of Video Images of Buildings Acquired from a UAV without Stabilization Kedzierski, Michal Delis, Paulina Sensors (Basel) Article The aim of this research was to assess the possibility of conducting an absolute orientation procedure for video imagery, in which the external orientation for the first image was typical for aerial photogrammetry whereas the external orientation of the second was typical for terrestrial photogrammetry. Starting from the collinearity equations, assuming that the camera tilt angle is equal to 90°, a simplified mathematical model is proposed. The proposed method can be used to determine the X, Y, Z coordinates of points based on a set of collinearity equations of a pair of images. The use of simplified collinearity equations can considerably shorten the processing tine of image data from Unmanned Aerial Vehicles (UAVs), especially in low cost systems. The conducted experiments have shown that it is possible to carry out a complete photogrammetric project of an architectural structure using a camera tilted 85°–90° ([Formula: see text] or ω) and simplified collinearity equations. It is also concluded that there is a correlation between the speed of the UAV and the discrepancy between the established and actual camera tilt angles. MDPI 2016-06-23 /pmc/articles/PMC4970005/ /pubmed/27347954 http://dx.doi.org/10.3390/s16070951 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kedzierski, Michal Delis, Paulina Fast Orientation of Video Images of Buildings Acquired from a UAV without Stabilization |
title | Fast Orientation of Video Images of Buildings Acquired from a UAV without Stabilization |
title_full | Fast Orientation of Video Images of Buildings Acquired from a UAV without Stabilization |
title_fullStr | Fast Orientation of Video Images of Buildings Acquired from a UAV without Stabilization |
title_full_unstemmed | Fast Orientation of Video Images of Buildings Acquired from a UAV without Stabilization |
title_short | Fast Orientation of Video Images of Buildings Acquired from a UAV without Stabilization |
title_sort | fast orientation of video images of buildings acquired from a uav without stabilization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970005/ https://www.ncbi.nlm.nih.gov/pubmed/27347954 http://dx.doi.org/10.3390/s16070951 |
work_keys_str_mv | AT kedzierskimichal fastorientationofvideoimagesofbuildingsacquiredfromauavwithoutstabilization AT delispaulina fastorientationofvideoimagesofbuildingsacquiredfromauavwithoutstabilization |