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https://hdl.handle.net/20.500.14279/9292
Τίτλος: | Automatic damage detection for sensitive cultural heritage sites | Συγγραφείς: | Cerra, Daniele Tian, Jiaojiao Lysandrou, Vasiliki Plank, Simon |
metadata.dc.contributor.other: | Λυσάνδρου, Βασιλική | Major Field of Science: | Humanities | Field Category: | History and Archaeology | Λέξεις-κλειδιά: | Change detection;Cultural heritage | Ημερομηνία Έκδοσης: | 1-Απρ-2016 | Πηγή: | 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 | Περίληψη: | 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 |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Αρχεία σε αυτό το τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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Vasiliki Lysandrou.pdf | 1.04 MB | Adobe PDF | Δείτε/ Ανοίξτε |
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