Enhancement of Archaeological Proxies at Non-Homogenous Environments in Remotely Sensed Imagery

Optical remote sensing has been widely used for the identification of archaeological proxies. Such proxies, known as crop or soil marks, can be detected in multispectral images due to their spectral signatures and the distinct contrast that they provide in relation to the surrounding area. The curre...

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Main Author: Athos Agapiou
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/12/3339
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spelling doaj-aac808f62ff04368a021cfcc4abc0e312020-11-25T01:10:29ZengMDPI AGSustainability2071-10502019-06-011112333910.3390/su11123339su11123339Enhancement of Archaeological Proxies at Non-Homogenous Environments in Remotely Sensed ImageryAthos Agapiou0Eratosthenes Research Centre, Department of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, Saripolou 2-8, 3036 Limassol, CyprusOptical remote sensing has been widely used for the identification of archaeological proxies. Such proxies, known as crop or soil marks, can be detected in multispectral images due to their spectral signatures and the distinct contrast that they provide in relation to the surrounding area. The current availability of high-resolution satellite datasets has enabled researchers to provide new methodologies and algorithms that can further enhance archaeological proxies supporting thus image-interpretation. However, a critical point that remains unsolved is the detection of crop and soil marks in non-homogenous environments. In these areas, interpretation is problematic even after the application of sophisticated image enhancement analysis techniques due to the mixed landscape and spectral confusion produced from the high-resolution datasets. To overcome this problem, we propose an image-based methodology in which the vegetation is suppressed following the “forced invariance” method and then we apply a linear orthogonal transformation to the suppressed spectral bands. The new Red−Green−Blue (RGB) image corresponds to a new three-band spectral space where the three axes are linked with the crop mark, vegetation, and soil components. The study evaluates the proposed approach in the archaeological site of “Nea Paphos” in Cyprus using a WorldView-2 multispectral image aiming to overcome the limitations of the mixed environments.https://www.mdpi.com/2071-1050/11/12/3339remote sensing archaeologyvegetation suppressionorthogonal equationsarchaeological proxiesburied archaeological remainssoil markscrop marksCyprus
collection DOAJ
language English
format Article
sources DOAJ
author Athos Agapiou
spellingShingle Athos Agapiou
Enhancement of Archaeological Proxies at Non-Homogenous Environments in Remotely Sensed Imagery
Sustainability
remote sensing archaeology
vegetation suppression
orthogonal equations
archaeological proxies
buried archaeological remains
soil marks
crop marks
Cyprus
author_facet Athos Agapiou
author_sort Athos Agapiou
title Enhancement of Archaeological Proxies at Non-Homogenous Environments in Remotely Sensed Imagery
title_short Enhancement of Archaeological Proxies at Non-Homogenous Environments in Remotely Sensed Imagery
title_full Enhancement of Archaeological Proxies at Non-Homogenous Environments in Remotely Sensed Imagery
title_fullStr Enhancement of Archaeological Proxies at Non-Homogenous Environments in Remotely Sensed Imagery
title_full_unstemmed Enhancement of Archaeological Proxies at Non-Homogenous Environments in Remotely Sensed Imagery
title_sort enhancement of archaeological proxies at non-homogenous environments in remotely sensed imagery
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2019-06-01
description Optical remote sensing has been widely used for the identification of archaeological proxies. Such proxies, known as crop or soil marks, can be detected in multispectral images due to their spectral signatures and the distinct contrast that they provide in relation to the surrounding area. The current availability of high-resolution satellite datasets has enabled researchers to provide new methodologies and algorithms that can further enhance archaeological proxies supporting thus image-interpretation. However, a critical point that remains unsolved is the detection of crop and soil marks in non-homogenous environments. In these areas, interpretation is problematic even after the application of sophisticated image enhancement analysis techniques due to the mixed landscape and spectral confusion produced from the high-resolution datasets. To overcome this problem, we propose an image-based methodology in which the vegetation is suppressed following the “forced invariance” method and then we apply a linear orthogonal transformation to the suppressed spectral bands. The new Red−Green−Blue (RGB) image corresponds to a new three-band spectral space where the three axes are linked with the crop mark, vegetation, and soil components. The study evaluates the proposed approach in the archaeological site of “Nea Paphos” in Cyprus using a WorldView-2 multispectral image aiming to overcome the limitations of the mixed environments.
topic remote sensing archaeology
vegetation suppression
orthogonal equations
archaeological proxies
buried archaeological remains
soil marks
crop marks
Cyprus
url https://www.mdpi.com/2071-1050/11/12/3339
work_keys_str_mv AT athosagapiou enhancementofarchaeologicalproxiesatnonhomogenousenvironmentsinremotelysensedimagery
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