Basit öğe kaydını göster

Disaster damage assessment for buildings using self-similarity descriptor

dc.contributor.authorKahraman, Fatihen_US
dc.contributor.authorİmamoğlu, Müminen_US
dc.contributor.authorAteş, Hasan Fehmien_US
dc.date.accessioned2016-08-11T21:26:03Z
dc.date.available2016-08-11T21:26:03Z
dc.date.issued2015
dc.identifier.citationKahraman, F., İmamoğlu, M. & Ateş, H. F. (2015). Disaster damage assessment for buildings using self-similarity descriptor. Paper presented at the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2711-2714. doi:10.1109/IGARSS.2015.7326373en_US
dc.identifier.isbn9781479979295
dc.identifier.isbn9781479979288
dc.identifier.issn2153-6996
dc.identifier.issn2153-7003
dc.identifier.urihttps://hdl.handle.net/11729/1119
dc.identifier.urihttp://dx.doi.org/10.1109/IGARSS.2015.7326373
dc.description.abstractAssessment of damage caused by an earthquake is significant for coordinating emergency response teams and planning emergency aid. In this study, a robust method is proposed for detecting damaged buildings using pre- and post-event satellite images and building footprints. The method uses local self-similarity descriptor for change detection in buildings, which is shown to be robust against variations in illumination and small local deformations. The use of building footprints helps reduce the false alarms due to changes in non-building areas. The 2010 Haiti earthquake is analyzed with the suggested method and 72% true positive rate and 29% false positive rate are obtained for detection of collapsed buildings with respect to the ground truth data of UNITAR/UNOSAT.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Incen_US
dc.relation.isversionof10.1109/IGARSS.2015.7326373
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBuilding damage detectionen_US
dc.subjectChange detectionen_US
dc.subjectRapid damage assessmenten_US
dc.subjectRemote sensingen_US
dc.subjectSelf similarity descriptoren_US
dc.subjectBuildingsen_US
dc.subjectEarthquakesen_US
dc.subjectSatellitesen_US
dc.subjectLightingen_US
dc.subjectLayouten_US
dc.subjectRobustnessen_US
dc.subjectBuildings (structures)en_US
dc.subjectDisastersen_US
dc.subjectUNITAR-UNOSATen_US
dc.subjectGround truth dataen_US
dc.subjectCollapsed-building detectionen_US
dc.subjectHaitien_US
dc.subjectAD 2010en_US
dc.subjectBuilding change detectionen_US
dc.subjectPost-event satellite imageen_US
dc.subjectPreevent satellite imageen_US
dc.subjectDamaged-building detectionen_US
dc.subjectEmergency responseen_US
dc.subjectEarthquakeen_US
dc.subjectDisaster damage assessmenten_US
dc.titleDisaster damage assessment for buildings using self-similarity descriptoren_US
dc.typeconferenceObjecten_US
dc.description.versionPublisher's Versionen_US
dc.relation.journal2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)en_US
dc.contributor.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.contributor.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.contributor.authorID0000-0002-6842-1528
dc.identifier.volume2015
dc.identifier.startpage2711
dc.identifier.endpage2714
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorAteş, Hasan Fehmien_US
dc.relation.indexWOSen_US
dc.relation.indexScopusen_US
dc.relation.indexConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.description.wosidWOS:000371696702204


Bu öğenin dosyaları:

Thumbnail
Ad:
1119.pdf
Boyut:
836.2Kb
Biçim:
PDF
Açıklama:
Publisher's Version
Göster/Aç

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster