Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9901
DC FieldValueLanguage
dc.contributor.authorCerra, Daniele-
dc.contributor.authorPlank, Simon-
dc.contributor.authorLysandrou, Vasiliki-
dc.contributor.authorTian, Jiaojiao-
dc.date.accessioned2017-02-24T07:23:15Z-
dc.date.available2017-02-24T07:23:15Z-
dc.date.issued2016-09-21-
dc.identifier.citationRemote Sensing, 2016, vol. 8, no. 9en_US
dc.identifier.issn20724292-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/9901-
dc.description.abstractThe 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.en_US
dc.description.sponsorshipThe 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.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relationATHENA. Remote Sensing Science Center for Cultural Heritageen_US
dc.relation.ispartofRemote Sensingen_US
dc.rights© Multidisciplinary Digital Publishing Instituteen_US
dc.subjectChange detectionen_US
dc.subjectCultural heritageen_US
dc.subjectTexture analysisen_US
dc.titleCultural heritage sites in danger-towards automatic damage detection from spaceen_US
dc.typeArticleen_US
dc.collaborationGerman Aerospace Centeren_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryHistory and Archaeologyen_US
dc.journalsOpen Accessen_US
dc.countryGermanyen_US
dc.countryCyprusen_US
dc.subject.fieldHumanitiesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.3390/rs8090781en_US
dc.relation.issue9en_US
dc.relation.volume8en_US
cut.common.academicyear2015-2016en_US
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn2072-4292-
crisitem.journal.publisherMDPI-
crisitem.project.grantnoH2020-TWINN-2015-CSA-
crisitem.project.fundingProgramH2020 Twinning-
crisitem.project.openAireinfo:eu-repo/grantAgreement/EC/H2020/691936-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-1448-7599-
crisitem.author.parentorgFaculty of Engineering and Technology-
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