Journal article
Michael Doneus, Martin Wieser, Geert J. Verhoeven, Wilfried Karel, Martin Fera, Norbert Pfeifer
Remote Sensing, vol. 8(3), 2016, p. 209
Remote Sensing, vol. 8(3), 2016, p. 209
DOI:
10.3390/rs8030209
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APA
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Doneus, M., Wieser, M., Verhoeven, G. J., Karel, W., Fera, M., & Pfeifer, N. (2016). Automated Archiving of Archaeological Aerial Images. Remote Sensing, 8(3), 209. https://doi.org/10.3390/rs8030209
Chicago/Turabian
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Doneus, Michael, Martin Wieser, Geert J. Verhoeven, Wilfried Karel, Martin Fera, and Norbert Pfeifer. “Automated Archiving of Archaeological Aerial Images.” Remote Sensing 8, no. 3 (2016): 209.
MLA
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Doneus, Michael, et al. “Automated Archiving of Archaeological Aerial Images.” Remote Sensing, vol. 8, no. 3, 2016, p. 209, doi:10.3390/rs8030209.
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@article{doneus2016a,
title = {Automated Archiving of Archaeological Aerial Images},
year = {2016},
issue = {3},
journal = {Remote Sensing},
pages = {209},
volume = {8},
doi = {10.3390/rs8030209},
author = {Doneus, Michael and Wieser, Martin and Verhoeven, Geert J. and Karel, Wilfried and Fera, Martin and Pfeifer, Norbert}
}
Abstract
The main purpose of any aerial photo archive is to allow quick access to images based on content and location. Therefore, next to a description of technical parameters and depicted content, georeferencing of every image is of vital importance. This can be done either by identifying the main photographed object (georeferencing of the image content) or by mapping the center point and/or the outline of the image footprint. The paper proposes a new image archiving workflow. The new pipeline is based on the parameters that are logged by a commercial, but cost-effective GNSS/IMU solution and processed with in-house-developed software. Together, these components allow one to automatically geolocate and rectify the (oblique) aerial images (by a simple planar rectification using the exterior orientation parameters) and to retrieve their footprints with reasonable accuracy, which is automatically stored as a vector file. The data of three test flights were used to determine the accuracy of the device, which turned out to be better than 1° for roll and pitch (mean between 0.0 and 0.21 with a standard deviation of 0.17–0.46) and better than 2.5° for yaw angles (mean between 0.0 and −0.14 with a standard deviation of 0.58–0.94). This turned out to be sufficient to enable a fast and almost automatic GIS-based archiving of all of the imagery.
The main purpose of any aerial photo archive is to allow quick access to images based on content and location. Therefore, next to a description of technical parameters and depicted content, georeferencing of every image is of vital importance. This can be done either by identifying the main photographed object (georeferencing of the image content) or by mapping the center point and/or the outline of the image footprint. The paper proposes a new image archiving workflow. The new pipeline is based on the parameters that are logged by a commercial, but cost-effective GNSS/IMU solution and processed with in-house-developed software. Together, these components allow one to automatically geolocate and rectify the (oblique) aerial images (by a simple planar rectification using the exterior orientation parameters) and to retrieve their footprints with reasonable accuracy, which is automatically stored as a vector file. The data of three test flights were used to determine the accuracy of the device, which turned out to be better than 1° for roll and pitch (mean between 0.0 and 0.21 with a standard deviation of 0.17–0.46) and better than 2.5° for yaw angles (mean between 0.0 and −0.14 with a standard deviation of 0.58–0.94). This turned out to be sufficient to enable a fast and almost automatic GIS-based archiving of all of the imagery.