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

Christopher Sevara, Geert Verhoeven UGent, Michael Doneus and Erich Draganits (2018) Journal of Archaeological Method and Theory. 25(2). p.611-642
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 models (hDEMs) for use in landscape archaeological research. We apply the developed method to a series of historic image sets and modern topographic data covering a period of over 70 years in western Sicily (Italy) and evaluate the outcome. The resulting series of hDEMs form a temporal data stack which is compared with modern high-resolution terrain data using a geomorphic change detection approach, providing a quantification of landscape change through time in extent and depth, and the impact of this change on archaeological resources.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
3D, Aerial photography, Airborne remote sensing, Archival imagery, Computer vision, IBM (Image-Based Modelling), Italy, Landscape archaeology, Landscape change, Landscape reconstruction, Multi-temporal, MVS (Multi View Stereo), Photogrammetry, Remote sensing, SfM (Structure from Motion), Sicily, Soil erosion
journal title
Journal of Archaeological Method and Theory
volume
25
issue
2
pages
32 pages
publisher
Springer Nature
ISSN
1072-5369
1573-7764
DOI
10.1007/s10816-017-9348-9
language
English
UGent publication?
yes
classification
U
copyright statement
I have retained and own the full copyright for this publication
id
8562217
handle
http://hdl.handle.net/1854/LU-8562217
date created
2018-05-18 09:12:23
date last changed
2018-05-18 09:15:42
@article{8562217,
  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 models (hDEMs) for use in landscape archaeological research. We apply the developed method to a series of historic image sets and modern topographic data covering a period of over 70 years in western Sicily (Italy) and evaluate the outcome. The resulting series of hDEMs form a temporal data stack which is compared with modern high-resolution terrain data using a geomorphic change detection approach, providing a quantification of landscape change through time in extent and depth, and the impact of this change on archaeological resources.},
  author       = {Sevara, Christopher and Verhoeven, Geert and Doneus, Michael and Draganits, Erich},
  issn         = {1072-5369},
  journal      = {Journal of Archaeological Method and Theory},
  keyword      = {3D,Aerial photography,Airborne remote sensing,Archival imagery,Computer vision,IBM (Image-Based Modelling),Italy,Landscape archaeology,Landscape change,Landscape reconstruction,Multi-temporal,MVS (Multi View Stereo),Photogrammetry,Remote sensing,SfM (Structure from Motion),Sicily,Soil erosion},
  language     = {eng},
  number       = {2},
  pages        = {611--642},
  publisher    = {Springer Nature},
  title        = {Surfaces from the Visual Past: Recovering High-Resolution Terrain Data from Historic Aerial Imagery for Multitemporal Landscape Analysis},
  url          = {http://dx.doi.org/10.1007/s10816-017-9348-9},
  volume       = {25},
  year         = {2018},
}

Chicago
Sevara, Christopher, Geert Verhoeven, Michael Doneus, and Erich Draganits. 2018. “Surfaces from the Visual Past: Recovering High-Resolution Terrain Data from Historic Aerial Imagery for Multitemporal Landscape Analysis.” Journal of Archaeological Method and Theory 25 (2): 611–642.
APA
Sevara, C., Verhoeven, G., Doneus, M., & Draganits, E. (2018). Surfaces from the Visual Past: Recovering High-Resolution Terrain Data from Historic Aerial Imagery for Multitemporal Landscape Analysis. Journal of Archaeological Method and Theory, 25(2), 611–642.
Vancouver
1.
Sevara C, Verhoeven G, Doneus M, Draganits E. Surfaces from the Visual Past: Recovering High-Resolution Terrain Data from Historic Aerial Imagery for Multitemporal Landscape Analysis. Journal of Archaeological Method and Theory. Springer Nature; 2018;25(2):611–42.
MLA
Sevara, Christopher, Geert Verhoeven, Michael Doneus, et al. “Surfaces from the Visual Past: Recovering High-Resolution Terrain Data from Historic Aerial Imagery for Multitemporal Landscape Analysis.” Journal of Archaeological Method and Theory 25.2 (2018): 611–642. Print.