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dc.contributor.authorZapata Arráez, Félix 
dc.contributor.authorLópez López, María
dc.contributor.authorAmigo Rubio, José Manuel
dc.contributor.authorGarcía Ruiz, Carmen 
dc.date.accessioned2020-04-29T08:00:00Z
dc.date.available2020-04-29T08:00:00Z
dc.date.issued2018-01-30
dc.identifier.bibliographicCitationForensic Science International, 2018, v. 282, p. 80-85en
dc.identifier.issn0379-0738
dc.identifier.urihttp://hdl.handle.net/10017/42378en
dc.description.abstractMultispectral images of clothing targets shot at seven different distances (from 10 to 220 cm) were recorded at 18 specific wavelengths in the 400&-1000 nm range to visualize the gunshot residue (GSR) pattern. Principal component analysis (PCA) showed that the use of violet-blue wavelengths (430, 450 and 470 nm) provided the largest contrast between the GSR particles and the white cotton fabric. Then, the correlation between the amount of GSR particles on clothing targets and the shooting distance was studied. By selecting the blue frame of multispectral images (i.e. the blue frame in the red-green-blue (RGB) system which falls at 470 nm), the amount of pixels containing GSR particles was accounted based on the intensity of pixels in that frame. Results demonstrated that the number of pixels containing GSR exponentially decreases with the shooting distance from 30 to 220 cm following a particular exponential equation. However, the targets shot at the shortest distance (10 cm) did not satisfy the above equation, probably due to the noticeable differences of the GSR-pattern of these targets (e.g. high presence of soot). Then, the equation was applied to validation samples to estimate the shooting distances, obtaining results with an error below 10%.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)en
dc.rightsElsevier 2018en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectGunshot residuesen
dc.subjectMultispectral imagingen
dc.subjectImage processingen
dc.subjectRGBen
dc.subjectShooting distanceen
dc.titleMulti-spectral imaging for the estimation of shooting distancesen
dc.typeinfo:eu-repo/semantics/articleen
dc.subject.ecienciaQuímicaes_ES
dc.subject.ecienciaChemistryen
dc.contributor.affiliationUniversidad de Alcalá. Departamento de Química Analítica, Química Física e Ingeniería Química
dc.date.updated2020-04-29T07:58:31Z
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.forsciint.2017.11.025en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//CTQ2014-58688-R/ES/DESARROLLO DE UNA HERRAMIENTA HIPERESPECTRAL FORENSE PARA UN ANALISIS COMPLETO DE RESIDUOS DE DISPARO EN LA DIANAes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.uxxiAR/0000027078en
dc.identifier.publicationtitleForensic Science Internationalen
dc.identifier.publicationvolume282
dc.identifier.publicationlastpage85
dc.identifier.publicationfirstpage80


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