5 October 2017 Target acquisition modeling over the exact optical path: extending the EOSTAR TDA with the TOD sensor performance model
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The Electro-Optical Signal Transmission and Ranging (EOSTAR) model is an image-based Tactical Decision Aid (TDA) for thermal imaging systems (MWIR/LWIR) developed for a sea environment with an extensive atmosphere model. The Triangle Orientation Discrimination (TOD) Target Acquisition model calculates the sensor and signal processing effects on a set of input triangle test pattern images, judges their orientation using humans or a Human Visual System (HVS) model and derives the system image quality and operational field performance from the correctness of the responses. Combination of the TOD model and EOSTAR, basically provides the possibility to model Target Acquisition (TA) performance over the exact path from scene to observer. In this method ship representative TOD test patterns are placed at the position of the real target, subsequently the combined effects of the environment (atmosphere, background, etc.), sensor and signal processing on the image are calculated using EOSTAR and finally the results are judged by humans. The thresholds are converted into Detection-Recognition-Identification (DRI) ranges of the real target. In experiments is shown that combination of the TOD model and the EOSTAR model is indeed possible. The resulting images look natural and provide insight in the possibilities of combining the two models. The TOD observation task can be done well by humans, and the measured TOD is consistent with analytical TOD predictions for the same camera that was modeled in the ECOMOS project.
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J. Dijk, J. Dijk, P. Bijl, P. Bijl, M. Oppeneer, M. Oppeneer, R.J.M. ten Hove, R.J.M. ten Hove, M. van Iersel, M. van Iersel, } "Target acquisition modeling over the exact optical path: extending the EOSTAR TDA with the TOD sensor performance model", Proc. SPIE 10432, Target and Background Signatures III, 104320I (5 October 2017); doi: 10.1117/12.2278848; https://doi.org/10.1117/12.2278848

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