The photoelectric theodolite is an important scheme to realize the tracking, detection, quantitative measurement and performance evaluation of weapon systems in ordnance test range. With the improvement of stability requirements for target tracking in complex environment, infrared scene simulation with high sense of reality and complex interference has become an indispensable technical way to evaluate the track performance of photoelectric theodolite. And the tail flame is the most important infrared radiation source of the weapon system. The dynamic tail flame with high reality is a key element for the photoelectric theodolite infrared scene simulation and imaging tracking test. In this paper, an infrared simulation method for the full-path tracking of tail flame by photoelectric theodolite is proposed aiming at the faint boundary, irregular, multi-regulated points. In this work, real tail images are employed. Simultaneously, infrared texture conversion technology is used to generate DDS texture for a particle system map. Thus, dynamic real-time tail flame simulation results with high fidelity from the theodolite perspective can be gained in the tracking process.
In this work, a texture mapping scheme with massive data is proposed based on quadtree for multi-level scene modeling. A simplified LOD model is established for the multi-resolution texture data which enhance the fidelity of multilevel target simulation in scene. By predictable appreciation according to viewpoint displacement in real-time simulation, the correspongding nodes and level details of quadtree are confirmed when the dynamical scene is loading. This mean effectively decreases the schedule data in real-time simulation. A validation experiment has been performed to certificate the availabitity and improvement.
In this paper pose measurement refers to flying pose measurement of rigid body including the pitch angle, yaw angel and roll angle. Pose measurement is of vital importance for such items as weapons settings, fault analysis and optimation design. Pose measurement based on optical images has many merits such as intuitive and non-contacted, which is a main method to measure pose currently. According to the parameters used and principle of the algorithms, the existing methods of pose measurement based on optical images are classified systematically and comprehensively for the first time as following: the methods of one station un-using camera’s inner parameters are divided into the feature length ratio method and the direct linear transformation(DLT )method, otherwise they are divided into the perspective n points(PNP)problem and the optical and radar integration method, the axes from planes intersection using two stations extensible to multistation, and model matching applied to one or more stations, and then they are comparatively analyzed .At last combined with practical applications such as one or more stations, have or no model and inner parameters used or unused, some selection and improvement of key points are given practically.