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11 August 2011 Based on dual-energy transmission and low-energy scatter of explosives classification
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In this paper, for explosives classification problem in safety inspection field, feature extraction and recognition from the radiation data as the core, combined with dual-energy X-ray transmission technology, low-energy forward scatter and low-energy back scatter technology to get eigenvalue R associated with effective atomic number and eigenvalue L associated with density. Synthesized R and L, get the discriminate, decision-making plane and distinguish rule based on the least mistake probability. The distribution of materials with regularity in this plane, there is a curve, most illicit materials drop into the area under the curve. Then get the criterion to classify the explosives. A given object may be randomly placed anywhere on the conveyor belt, resulting in a variation in the detected signals. Both an adaptive modeling technique and least squares method are used to decrease this distance effect. This is the magnitude contribute for recognition of solid explosive.
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Lina Sun "Based on dual-energy transmission and low-energy scatter of explosives classification", Proc. SPIE 8195, International Symposium on Photoelectronic Detection and Imaging 2011: Terahertz Wave Technologies and Applications, 81950I (11 August 2011);

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