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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Candy, J.V. |
| Copyright Year | 2013 |
| Description | Author affiliation: Lawrence Livermore Nat. Lab., Livermore, CA, USA (Candy, J.V.) |
| Abstract | The timely and accurate detection of threat contraband especially for ports-of-entry (e.g. harbors, bays, borders, airports) is an extremely critical problem of national security. The investigation of advanced techniques to reliably and accurately detect threats and reject non-threats is the major focus of this effort. The characterization of signal processing models based on xray transport physics is a crucial element in advanced sequential Bayesian processor designs. Incorporating the underlying statistics of x-ray interactions with materials offering a potentially unique signature of an object or item under investigation leads to a (stochastic) physics-based approach. State-space models, common in many application areas, are introduced into the x-ray radiation area. Here the resulting processor incorporating this construct is developed from a pragmatic perspective. A Gaussian application is discussed to illustrate feasibility of the overall physics-based approach. It is shown that the sequential Bayesian processor is capable of providing a reliable and accurate solution with high confidence in a timely manner for this problem based on a set of synthesized object intensity data. |
| Starting Page | 1 |
| Ending Page | 9 |
| File Size | 1929462 |
| Page Count | 9 |
| File Format | |
| e-ISBN | 9781479900015 |
| DOI | 10.1109/OCEANS-Bergen.2013.6607948 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-10 |
| Publisher Place | Norway |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Detectors Materials Photonics Mathematical model Arrays Attenuation |
| Content Type | Text |
| Resource Type | Article |
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