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Remote Sens. 2016, 8(3), 209;

Automated Archiving of Archaeological Aerial Images

Department for Prehistoric and Historical Archaeology, University of Vienna, Franz-Klein-Gasse 1, Vienna 1190, Austria
LBI for Archaeological Prospection and Virtual Archaeology, Franz-Klein-Gasse 1, Vienna 1190, Austria
Department of Geodesy and Geoinformation, Technische Universität Wien, Gusshausstrasse 27-29, Vienna 1040, Austria
Initiative College for Archaeological Prospection, University of Vienna, Franz-Klein-Gasse 1, Vienna 1190, Austria
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editors: Kenneth L. Kvamme, Rosa Lasaponara and Prasad S. Thenkabail
Received: 8 January 2016 / Revised: 5 February 2016 / Accepted: 24 February 2016 / Published: 5 March 2016
(This article belongs to the Special Issue Archaeological Prospecting and Remote Sensing)
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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. View Full-Text
Keywords: aerial image; archaeology; direct georeferencing; exterior orientation; geocoding; GNSS/INS aerial image; archaeology; direct georeferencing; exterior orientation; geocoding; GNSS/INS

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Doneus, M.; Wieser, M.; Verhoeven, G.; Karel, W.; Fera, M.; Pfeifer, N. Automated Archiving of Archaeological Aerial Images. Remote Sens. 2016, 8, 209.

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