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Identification and classification of environmental forensics, with thepetroleum forensics as the main application, requires an effective technologyor method to distinguish between the closely located forensics as they sharemany main biomarkers. Two-dimensional gas chromatography is one of thesetechnologies with which a petroleum forensic is separated into its chemicalcompounds, resulting in a three-dimensional image, GCXGC image. Therefore,distinguishing between two petroleum forensics is equivalent to the comparisonbetween their corresponding GCXGC images. In this paper, we present atechnique, called Quantized Peak Topography Map (QPTM), which results in abetter separation between the GCXGC images. We validate our proposed method ona model dataset, consisting of thirtyfour GCXGC images, extracted from thedifferent parts of the world.

Robust Oil-spill Forensics and Petroleum Source Differentiation using Quantized Peak Topography Maps