Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9901
Title: Cultural heritage sites in danger-towards automatic damage detection from space
Authors: Cerra, Daniele 
Plank, Simon 
Lysandrou, Vasiliki 
Tian, Jiaojiao 
Major Field of Science: Humanities
Field Category: History and Archaeology
Keywords: Change detection;Cultural heritage;Texture analysis
Issue Date: 21-Sep-2016
Source: Remote Sensing, 2016, vol. 8, no. 9
Volume: 8
Issue: 9
Project: ATHENA. Remote Sensing Science Center for Cultural Heritage 
Journal: Remote Sensing 
Abstract: The intentional damage to local Cultural Heritage sites carried out in recent months by the Islamic State have received wide coverage from the media worldwide. Earth Observation data provide important information to assess this damage in such non-accessible areas, and automated image processing techniques will be needed to speed up the analysis if a fast response is desired. This paper shows the first results of applying fast and robust change detection techniques to sensitive areas, based on the extraction of textural information and robust differences of brightness values related to pre- and post-disaster satellite images. A map highlighting potentially damaged buildings is derived, which could help experts at timely assessing the damages to the Cultural Heritage sites of interest. Encouraging results are obtained for two archaeological sites in Syria and Iraq.
URI: https://hdl.handle.net/20.500.14279/9901
ISSN: 20724292
DOI: 10.3390/rs8090781
Rights: © Multidisciplinary Digital Publishing Institute
Type: Article
Affiliation : German Aerospace Center 
Cyprus University of Technology 
Funding: The intentional damage to local Cultural Heritage sites carried out in recent months by the Islamic State have received wide coverage from the media worldwide. Earth Observation data provide important information to assess this damage in such non-accessible areas, and automated image processing techniques will be needed to speed up the analysis if a fast response is desired. This paper shows the first results of applying fast and robust change detection techniques to sensitive areas, based on the extraction of textural information and robust differences of brightness values related to pre- and post-disaster satellite images. A map highlighting potentially damaged buildings is derived, which could help experts at timely assessing the damages to the Cultural Heritage sites of interest. Encouraging results are obtained for two archaeological sites in Syria and Iraq.
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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