机载摄像机优化调整模型及其应用

Airborne camera optimization model and its applications

成像变换涉及到不同的坐标系统之间的变换,各个坐标系统的相互关系是建立机载摄像机模型的基础。摄像机的调整首先要根据无人战斗机(UCAV)与目标的当前速度等因素预测下一次检测时各自的位置、UCAV的姿态等参数。可以通过分析小时间片内的变化情况,实现UCAV及机载摄像机的控制与调整。实验结果表明,本文的方法有较好的实时性,可以使目标始终位于视频图像的中心位置附近,对于目标中心点的预测及图像跟踪是有效的。

It is the basis of the establishment of the airborne camera model that the interrelationships among different coordinate systems from the imaging transformation relating to the coordinate transformation among different coordinate systems. The latest locality, posture and other parameters of the UCAV（uninhabited combat aerial vehicles） and object can be forecasted by the detected speeds and other parameters of them. Through the analysis of changes of the parameters within any slot durations, the control of the aircraft and the adjustments of the airborne camera can be accomplished. The results of the emulation experiment of half-physical system reveal that the object image can be located on or beside the center of the video picture all the time by applying the proposed method, which improves the objecttracing efficiency on the basis of the image processing.