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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Lyasandrou.pdf | Article | 16.48 MB | Adobe PDF | View/Open |
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