An implemented process for real-time detection susceptibility estimation for small maritime targets


  1. Daya, Z.A.
  2. Issa, V.
  3. Greene, C.
Corporate Authors
Defence Research and Development Canada, Atlantic Research Centre, Halifax NS (CAN);Defence Research and Development Canada, Valcartier Research Centre, Quebec QC (CAN)
We have developed an efficient process for the near real-time prediction of the detection of a small boat in the infrared (IR). Our method extends the traditional ACQUIRE procedure to maritime targets by accounting for the modeled signatures of the boat and its white water wake. The boat IR signature is modeled in ShipIR over an expansive parameter space, covering the scenarios with a density determined from the underlying statistical weighting of environmental variables. In this study our parameter space comprised of a total of 13 variables. The white water wake signature of the bow splash from the small boats is hypothesized to be determined from the effective blackbody temperature of the seawater with unit emissivity . The area of the white water wake was measured in a trial (May 2009) where 3 boats ranging between 7 and 13 meters in length approached shore based visible and IR cameras at various speeds and aspects. Projections of the modeled boat geometries were used to create masks for use as correlation templates in segmenting the wake and boat in the image data. For each scenario, modeled IR contrast signatures of both the boat and its white water wake at low or grazing elevation angles, each expressed as an effective temperature were stored in a relational database. These, augmented with the characteristic sizes of the boat and wake, are sufficient to predict the probability of detection by an optical system of known MRTD (minimum resolvable temperature difference) pe

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probability of detection;small boat;IR signature;white water wake;target transfer probability function;johnson model;ACQUIRE model;TTP model
Report Number
DRDC-RDDC-2015-R100 — Scientific Report
Date of publication
01 Jun 2015
Number of Pages
Electronic Document(PDF)

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