| Popis: |
We developed a software framework for image-based simulation models in the chain: scene-atmosphere-sensor-image enhancement-display-human observer: EO-VISTA. The goal is to visualize the steps and to quantify (Target Acquisition) task performance. EO-VISTA provides an excellent means to systematically determine the effects of certain factors on overall performance in the context of the whole chain. There is a wide number of applications in the areas of sensor design, maintenance, TA model development, tactical decision aids and R&D. The framework is set up in such a way that modules of different producers can be combined, once they comply with a standardized interface. At the moment the shell runs with three modules, required to calculate TA-performance based on the TOD (Triangle Orientation Discrimination) method. In order to demonstrate the potential of a future comprehensive visualization tool, two example calculations are carried out using two programs not yet implemented: the pcSitoS sensor simulation model and the EOSTAR scene and atmosphere model. With the examples we show that: i) pcSitoS yields a TOD comparable to that of the real sensor that is simulated, ii) performance differences between the human visual system model implemented for automated TOD measurement and a human observer are consistent over different types of sensor and may be corrected for relatively easy, and iii) simulation results of thermal ship imagery are in line with acquisition ranges predicted with the TOD model. All these results can be studied more extensively with EO-VISTA in a systematic way. |
