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dc.contributor.authorMata Miquel, Cristian
dc.contributor.authorValero Pérez, Mario Miguel
dc.contributor.authorPastor Ferrer, Elsa
dc.contributor.authorPlanas Cuchi, Eulàlia
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2018-11-27T12:53:37Z
dc.date.issued2018
dc.identifier.citationMata, C., Valero, M., Pastor, E., Planas, E. Management of an infrared imaging system for wildfire monitoring. A: International Conference on Forest Fire Research. "Advances in Forest Fire Research 2018". 2018, p. 1379-1383.
dc.identifier.isbn978-989-26-16-506
dc.identifier.otherhttps://doi.org/10.14195/978-989-26-16-506_184
dc.identifier.urihttp://hdl.handle.net/2117/125132
dc.description.abstractIn this work, we present our system architecture developed to manage and pre- and post-process TIR (thermal infrared) imagery for wildfire applications. It is mainly composed of an acquisition module, a preprocessing unit and a GUI graphical interface for post-processing analysis. Specific data-acquisition software was developed to overcome the limitations of the applications provided by camera manufacturers. This data acquisition module was complemented with a pre-processing unit to deal with those videos already recorded using manufacturers’ software. This pre-processing unit converts stored IR raw files (which are unreadable) into a standard format that allows an overall thermal analysis. Our system can handle video formats used by two of the most important IR camera providers, i.e. Optris and FLIR. Finally, a graphical interface application provides the user with a user-friendly menu to detect fire edge position at desired time steps (i.e. automated perimeter tracking), to calculate rate of spread maps and interact with the data-driven forecasting module. This system makes two important contributions. First, it constitutes a common framework that ensures coherence in the treatment of IR data, no matter how it was obtained. Additionally, it incorporates the image processing algorithms in which we have been working for the past years, making them easy-to-use and facilitating the analysis of their result.
dc.format.extent5 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::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria
dc.subject.lcshInfrared radiation
dc.subject.lcshWildfires
dc.subject.lcshImage processing--Digital techniques
dc.subject.lcshComputer algorithms
dc.subject.otherInfrared imaging system
dc.subject.otherGUI graphical interface
dc.subject.otherWildfire monitoring
dc.titleManagement of an infrared imaging system for wildfire monitoring
dc.typeConference lecture
dc.subject.lemacImatges -- Processament -- Tècniques digitals
dc.subject.lemacIncendis forestals -- Prevenció i control
dc.subject.lemacInterfícies d'usuari (Informàtica)
dc.subject.lemacRaigs infraroigs
dc.contributor.groupUniversitat Politècnica de Catalunya. CERTEC - Centre d'Estudis del Risc Tecnològic
dc.identifier.doi10.14195/978-989-26-16-506_184
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://digitalis.uc.pt/en/livro/management_infrared_imaging_system_wildfire_monitoring
dc.rights.accessRestricted access - publisher's policy
drac.iddocument23529340
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorMata, C., Valero, M., Pastor, E., Planas, E.
upcommons.citation.contributorInternational Conference on Forest Fire Research
upcommons.citation.publishedtrue
upcommons.citation.publicationNameAdvances in Forest Fire Research 2018
upcommons.citation.startingPage1379
upcommons.citation.endingPage1383


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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