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dc.contributor.authorValero Pérez, Mario Miguel
dc.contributor.authorRios, Oriol
dc.contributor.authorPastor Ferrer, Elsa
dc.contributor.authorPlanas Cuchi, Eulàlia
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2018-06-27T06:30:32Z
dc.date.available2018-06-27T06:30:32Z
dc.date.issued2018-04-23
dc.identifier.citationValero, M., Rios, O., Pastor, E., Planas, E. Automated location of active fire perimeters in aerial infrared imaging using unsupervised edge detectors. "International journal of wildland fire", 23 Abril 2018, vol. 27, núm. 4, p. 241-256.
dc.identifier.issn1049-8001
dc.identifier.urihttp://hdl.handle.net/2117/118547
dc.description.abstractA variety of remote sensing techniques have been applied to forest fires. However, there is at present no system capable of monitoring an active fire precisely in a totally automated manner. Spaceborne sensors show too coarse spatio-temporal resolutions and all previous studies that extracted fire properties from infrared aerial imagery incorporated manual tasks within the image processing workflow. As a contribution to this topic, this paper presents an algorithm to automatically locate the fuel burning interface of an active wildfire in georeferenced aerial thermal infrared (TIR) imagery. An unsupervised edge detector, built upon the Canny method, was accompanied by the necessary modules for the extraction of line coordinates and the location of the total burned perimeter. The system was validated in different scenarios ranging from laboratory tests to large-scale experimental burns performed under extreme weather conditions. Output accuracy was computed through three common similarity indices and proved acceptable. Computing times were below 1¿s per image on average. The produced information was used to measure the temporal evolution of the fire perimeter and automatically generate rate of spread (ROS) fields. Information products were easily exported to standard Geographic Information Systems (GIS), such as GoogleEarth and QGIS. Therefore, this work contributes towards the development of an affordable and totally automated system for operational wildfire surveillance.
dc.format.extent16 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria química::Impacte ambiental
dc.subject.lcshWildfires
dc.subject.lcshImage analysis
dc.subject.otherImage analysis
dc.subject.othermonitoring
dc.subject.otherperimeter tracking
dc.subject.otherremote sensing
dc.subject.othersegmentation
dc.subject.otherwildland fire.
dc.titleAutomated location of active fire perimeters in aerial infrared imaging using unsupervised edge detectors
dc.typeArticle
dc.subject.lemacIncendis forestals
dc.subject.lemacImatges -- Anàlisi
dc.contributor.groupUniversitat Politècnica de Catalunya. CERTEC - Centre d'Estudis del Risc Tecnològic
dc.identifier.doi10.1071/WF17093
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.publish.csiro.au/wf/WF17093
dc.rights.accessOpen Access
local.identifier.drac22423065
dc.description.versionPostprint (author's final draft)
local.citation.authorValero, M.; Rios, O.; Pastor, E.; Planas, E.
local.citation.publicationNameInternational journal of wildland fire
local.citation.volume27
local.citation.number4
local.citation.startingPage241
local.citation.endingPage256


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain