【摘要】 针对激光器照射动态靶板测试时,由于运动靶板带来的光斑畸变问题,提出了一种基于FPGA(FieldProgrammable Gate Array)的图像数据融合的设计方法.文中将数字CCD(Charge Coupled Device)相机采集到的激光光斑图像信息、BD2(BeiDou2Navigation Satellite System)/GPS(Global Position System)授时模块提供的精确的时间数据信息以及跟踪转台提供的方位、俯仰的角位置信息,利用卡尔曼加权融合算法,在FPGA内部实现数据信息的融合,使得在一幅光斑图像上同时体现多源信息.结果表明:测试完成后通过判读带有融合了角位置以及时间信息的图像数据来对光斑图像进行畸变校正,减小了畸变误差对系统的影响,大大提高了光斑重心检测精度.更多还原

【Abstract】 For the problem the distortion of laser spot will occur when the laser device is raying a moving target,the paper put forward a fusion technique of image and data based on FPGA(Field Programmable Gate Array).The digital CCD camera provided laser spot image,BD/GPS(BeiDou2Navigation Satellite System)/GPS(Global Position System)time service module provided accurate time information, and tracking turntable provided angular position information of level range and pitch range,collected these three information to fuse in FPGA with Kalman weighted fusion algorithm.The fusion result presented multisource information at one picture at the same time.Then,correct distorted image according to the angular position information and time information extracted from the fusion image data.The method cuts down the negative influence brought by distortion to the system,and improves the detection precision of laser spot barycenter.更多还原