Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/9292
Title: Automatic damage detection for sensitive cultural heritage sites
Authors: Cerra, Daniele 
Tian, Jiaojiao 
Lysandrou, Vasiliki 
Plank, Simon 
Major Field of Science: Humanities
Field Category: History and Archaeology
Keywords: Change detection;Cultural heritage
Issue Date: 1-Apr-2016
Source: 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016; Prague; Czech Republic; 12 July 2016 through 19 July 2016
DOI: 10.5194/isprsarchives-XLI-B5-215-2016
Project: ATHENA. Remote Sensing Science Center for Cultural Heritage 
Abstract: The intentional damages to local Cultural Heritage sites carried out in recent months by the Islamic State (IS) have received wide coverage from the media worldwide. Earth Observation data is an important tool to assess these damages in such non- Accessible areas: If a fast response is desired, automated image processing techniques would be needed to speed up the analysis. This paper shows the first results of applying fast and robust change detection techniques to sensitive areas. A map highlighting potentially damaged buildings is derived, which could help experts at timely assessing the damages to the Cultural Heritage sites in the observed images.
URI: http://ktisis.cut.ac.cy/handle/10488/9292
Type: Conference Papers
Affiliation : Cyprus University of Technology 
German Aerospace Center 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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