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Title: An objective assessment of hyperspectral indicators for the detection of buried archaeological relics
Authors: Cerra, Daniele 
Agapiou, Athos 
Cavalli R., Rosa Maria 
Sarris, Apostolos 
Keywords: Archaeology;Crop marks;Cultural heritage;Hyperspectral imaging;Mutual information;Spectral indices
Category: History and Archaeology
Field: Humanities
Issue Date: Apr-2018
Publisher: MDPI AG
Source: Remote Sensing, 2018, Volume 10, Issue 4, Article number 500
Project: ATHENA. Remote Sensing Science Center for Cultural Heritage 
Abstract: Hyperspectral images can highlight crop marks in vegetated areas, which may indicate the presence of underground buried structures, by exploiting the spectral information conveyed in reflected solar radiation. In recent years, different vegetation indices and several other image features have been used, with varying success, to improve the interpretation of remotely sensed images for archaeological research. However, it is difficult to assess the derived maps quantitatively and select the most meaningful one for a given task, in particular for a non-specialist in image processing. This paper estimates for the first time objectively the suitability of maps derived from spectral features for the detection of buried archaeological structures in vegetated areas based on information theory. This is achieved by computing the statistical dependence between the extracted features and a digital map indicating the presence of buried structures using information theoretical notions. Based on the obtained scores on known targets, the features can be ranked and the most suitable can be chosen to aid in the discovery of previously undetected crop marks in the area under similar conditions. Three case studies are reported: the Roman buried remains of Carnuntum (Austria), the underground structures of Selinunte in the South of Italy, and the buried street relics of Pherai (Velestino) in central Greece.
ISSN: 20724292
Rights: © 2018 by the authors.
Type: Article
Appears in Collections:Άρθρα/Articles

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