Surfaces from the Visual Past: Recovering High- Resolution Terrain Data from Historic Aerial Imagery for Multitemporal Landscape Analysis

Journal of Archaeological Method and Theory
Christopher SevaraErich Draganits

Abstract

Historic aerial images are invaluable sources of aid to archaeological research. Often collected with large-format photogrammetric quality cameras, these images are potential archives of multidimensional data that can be used to recover information about historic landscapes that have been lost to modern development. However, a lack of camera information for many historic images coupled with physical degradation of their media has often made it difficult to compute geometrically rigorous 3D content from such imagery. While advances in photogrammetry and computer vision over the last two decades have made possible the extraction of accurate and detailed 3D topographical data from high-quality digital images emanating from uncalibrated or unknown cameras, the target source material for these algorithms is normally digital content and thus not negatively affected by the passage of time. In this paper, we present refinements to a computer vision-based workflow for the extraction of 3D data from historic aerial imagery, using readily available software, specific image preprocessing techniques and in-field measurement observations to mitigate some shortcomings of archival imagery and improve extraction of historical digital elevation ...Continue Reading

References

Jun 30, 2012·Nature Methods·Johannes SchindelinAlbert Cardona

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Citations

Sep 18, 2020·Journal of Field Archaeology·Christopher SevaraSebastiano Tusa
May 31, 2018·Proceedings of the National Academy of Sciences of the United States of America·David StottRubina Raja

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