Abstract
In crime scene involving gunshot wound, the experts of forensic science analyze the gunshot residues to determine the kind of gun used or muzzle-to-target distance. Sometimes these signs are invisible to the naked eye, for example on dark or coloured fabrics. In this perspective, the SYLLABES project has been proposed to design a multispectral laser imaging device that can be set up on crime scene or in laboratory. The first stage before developing this device is to acquire and analyze hyperspectral images. In order to reveal the gunshot residue on fabrics, endmembers extraction methods have been tested. In this paper, two geometrical methods (OSP and N-FINDR) and a statistical one (ICE) are used and compared on fabric samples provided by forensic experts. The potential of endmembers extraction and unmixing methods to enhance residues, either because they can appear as pure components or because they are revealed by the image of reconstruction error, is assessed.
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