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dc.contributor.authorPitts, Dilkushi A de Alwis
dc.contributor.authorSo, Emily
dc.date.accessioned2018-10-10T05:18:25Z
dc.date.available2018-10-10T05:18:25Z
dc.date.issued2017-05
dc.identifier.issn0303-2434
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/283410
dc.description.abstractThe availability of Very High Resolution (VHR) optical sensors and a growing image archive that is frequently updated, allows the use of change detection in post-disaster recovery and monitoring for robust and rapid results. The proposed semi-automated GIS object-based method uses readily available pre-disaster GIS data and adds existing knowledge into the processing to enhance change detection. It also allows targeting specific types of changes pertaining to similar man-made objects. This change detection method is based on pre/post normalized index, gradient of intensity, texture and edge similarity filters within the object and a set of training data. Once the change is quantified, based on training data, the method can be used automatically to detect change in order to observe recovery over time in large areas. Analysis over time can also contribute to obtaining a full picture of the recovery and development after disaster, thereby giving managers a better understanding of productive management practices.
dc.description.sponsorshipEU FP7
dc.publisherElsevier BV
dc.subjectChange detection
dc.subjectRemote sensing
dc.subjectDisaster response and recovery
dc.subjectRoads
dc.subjectOpen spaces
dc.titleEnhanced change detection index for disaster response, recovery assessment and monitoring of accessibility and open spaces (camp sites)
dc.typeArticle
prism.endingPage60
prism.publicationDate2017
prism.publicationNameINTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
prism.startingPage49
prism.volume57
dc.identifier.doi10.17863/CAM.30778
dcterms.dateAccepted2016-12-12
rioxxterms.versionofrecord10.1016/j.jag.2016.12.004
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2017-05
dc.contributor.orcidSo, Emily [0000-0002-2460-0452]
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEuropean Commission (312972)
rioxxterms.freetoread.startdate2018-05-31


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