Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/9292
Title: | Automatic damage detection for sensitive cultural heritage sites | Authors: | Cerra, Daniele Tian, Jiaojiao Lysandrou, Vasiliki Plank, Simon |
metadata.dc.contributor.other: | Λυσάνδρου, Βασιλική | 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: | https://hdl.handle.net/20.500.14279/9292 | Type: | Conference Papers | Affiliation : | Cyprus University of Technology DLR - German Aerospace Center |
Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Files in This Item:
File | Description | Size | Format | |
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Vasiliki Lysandrou.pdf | 1.04 MB | Adobe PDF | View/Open |
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