ARCHAEOLOGICAL FEATURE DETECTION FROM ARCHIVE AERIAL PHOTOGRAPHY WITH A SFM-MVS AND IMAGE ENHANCEMENT PIPELINE

Understanding and protecting cultural heritage involves the detection and long-term documentation of archaeological remains alongside the spatio-temporal analysis of their landscape evolution. Archive aerial photography can illuminate traces of ancient features which typically appear with different...

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Main Authors: M. V. Peppa, J. P. Mills, K. D. Fieber, I. Haynes, S. Turner, A. Turner, M. Douglas, P. G. Bryan
Format: Article
Language:English
Published: Copernicus Publications 2018-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/869/2018/isprs-archives-XLII-2-869-2018.pdf
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author M. V. Peppa
J. P. Mills
K. D. Fieber
I. Haynes
S. Turner
A. Turner
M. Douglas
P. G. Bryan
author_facet M. V. Peppa
J. P. Mills
K. D. Fieber
I. Haynes
S. Turner
A. Turner
M. Douglas
P. G. Bryan
author_sort M. V. Peppa
collection DOAJ
description Understanding and protecting cultural heritage involves the detection and long-term documentation of archaeological remains alongside the spatio-temporal analysis of their landscape evolution. Archive aerial photography can illuminate traces of ancient features which typically appear with different brightness values from their surrounding environment, but are not always well defined. This research investigates the implementation of the Structure-from-Motion - Multi-View Stereo image matching approach with an image enhancement algorithm to derive three epochs of orthomosaics and digital surface models from visible and near infrared historic aerial photography. The enhancement algorithm uses decorrelation stretching to improve the contrast of the orthomosaics so as archaeological features are better detected. Results include 2D / 3D locations of detected archaeological traces stored into a geodatabase for further archaeological interpretation and correlation with benchmark observations. The study also discusses the merits and difficulties of the process involved. This research is based on a European-wide project, entitled “Cultural Heritage Through Time”, and the case study research was carried out as a component of the project in the UK.
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spelling doaj.art-d3fe63f5985c4e73bd26366ad9523adc2022-12-21T18:57:43ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-05-01XLII-286987510.5194/isprs-archives-XLII-2-869-2018ARCHAEOLOGICAL FEATURE DETECTION FROM ARCHIVE AERIAL PHOTOGRAPHY WITH A SFM-MVS AND IMAGE ENHANCEMENT PIPELINEM. V. Peppa0J. P. Mills1K. D. Fieber2I. Haynes3S. Turner4A. Turner5M. Douglas6P. G. Bryan7School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, UKSchool of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, UKSchool of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, UKSchool of History, Classics and Archaeology, Newcastle University, Newcastle upon Tyne, NE1 7RU, UKSchool of History, Classics and Archaeology, Newcastle University, Newcastle upon Tyne, NE1 7RU, UKSchool of History, Classics and Archaeology, Newcastle University, Newcastle upon Tyne, NE1 7RU, UKEnglish Heritage, York, UKHistoric England, York, UKUnderstanding and protecting cultural heritage involves the detection and long-term documentation of archaeological remains alongside the spatio-temporal analysis of their landscape evolution. Archive aerial photography can illuminate traces of ancient features which typically appear with different brightness values from their surrounding environment, but are not always well defined. This research investigates the implementation of the Structure-from-Motion - Multi-View Stereo image matching approach with an image enhancement algorithm to derive three epochs of orthomosaics and digital surface models from visible and near infrared historic aerial photography. The enhancement algorithm uses decorrelation stretching to improve the contrast of the orthomosaics so as archaeological features are better detected. Results include 2D / 3D locations of detected archaeological traces stored into a geodatabase for further archaeological interpretation and correlation with benchmark observations. The study also discusses the merits and difficulties of the process involved. This research is based on a European-wide project, entitled “Cultural Heritage Through Time”, and the case study research was carried out as a component of the project in the UK.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/869/2018/isprs-archives-XLII-2-869-2018.pdf
spellingShingle M. V. Peppa
J. P. Mills
K. D. Fieber
I. Haynes
S. Turner
A. Turner
M. Douglas
P. G. Bryan
ARCHAEOLOGICAL FEATURE DETECTION FROM ARCHIVE AERIAL PHOTOGRAPHY WITH A SFM-MVS AND IMAGE ENHANCEMENT PIPELINE
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title ARCHAEOLOGICAL FEATURE DETECTION FROM ARCHIVE AERIAL PHOTOGRAPHY WITH A SFM-MVS AND IMAGE ENHANCEMENT PIPELINE
title_full ARCHAEOLOGICAL FEATURE DETECTION FROM ARCHIVE AERIAL PHOTOGRAPHY WITH A SFM-MVS AND IMAGE ENHANCEMENT PIPELINE
title_fullStr ARCHAEOLOGICAL FEATURE DETECTION FROM ARCHIVE AERIAL PHOTOGRAPHY WITH A SFM-MVS AND IMAGE ENHANCEMENT PIPELINE
title_full_unstemmed ARCHAEOLOGICAL FEATURE DETECTION FROM ARCHIVE AERIAL PHOTOGRAPHY WITH A SFM-MVS AND IMAGE ENHANCEMENT PIPELINE
title_short ARCHAEOLOGICAL FEATURE DETECTION FROM ARCHIVE AERIAL PHOTOGRAPHY WITH A SFM-MVS AND IMAGE ENHANCEMENT PIPELINE
title_sort archaeological feature detection from archive aerial photography with a sfm mvs and image enhancement pipeline
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/869/2018/isprs-archives-XLII-2-869-2018.pdf
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