摘要
针对成像结果质量低、成像过程灵活性差、成像耗时长等问题,提出基于虚拟现实技术的无人机远程激光装置高质量成像方法.对激光信号实施二进制编码操作,当激光发射信号并接收回波时,信号放大设备读取最开始信号发射的信息编码,判断回波编码信息与原始信息匹配程度,如果匹配程度低,则不将其当作有效回波信号,实现成像抗干扰设计,依据抗干扰设计,基于空间几何理论,采用线性结构远程激光装置实现成像,成像时向被测对象投射1个激光条,利用线结构激光,得到激光条上相应点位置信息,即光点在空间坐标中三维坐标,依据三维坐标定点成像位置,完成无人机远程激光装置高质量成像.将成像结果引入图像处理中,结合方向图法与方差法分割成像结果,通过简单阈值法将边缘效应消除,得到最终图像处理结果.实验结果表明,该技术下无人机远程激光装置高质量成像质量高、成像灵活性强,成像耗时短于当前技术.
Aiming at the problems of low quality of imaging results,poor flexibility of imaging process and long imaging time,a high-quality imaging method of UAV remote laser device based on virtual reality technology is proposed.The binary coding operation is implemented for the laser signal.When the laser transmits the signal and receives the echo,the signal amplification equipment reads the information coding of the initial signal transission and judges the matching degree between the echo coding information and the original information.If the matching degree is low,it will not be regarded as an effective echo signal to realize the imaging anti-interference design.According to the anti-interference design and based on the spatial geometry theory,the linear structure remote laser device is used to realize imaging.During imaging,a laser strip is projected to the measured object.The position information of the corresponding point on the laser strip is obtained by using the line structure laser,that is,the three-dimensional coordinates of the light point in the spatial coordinates,and the fixed-point imaging position according to the three-dimensional coordinates to complete the high-quality imaging of the UAV remote laser device.The imaging results are introduced into image processing and the imaging results are segmented by combining pattern method and variance method,and the edge effect is eliminated by simple threshold method to obtain the final image processing results.The experimental results show that the UAV remote laser device under this technology has high quality,high imaging quality,strong imaging flexibility,and the imaging time is shorter than the current technology.
作者
吴建美
WU Jian-mei(Fuzhou Software Technology Vocational College,Fuzhou 350005,China)
出处
《内蒙古民族大学学报（自然科学版）》
2021年第5期396-401,共6页
Journal of Inner Mongolia Minzu University：Natural Sciences
基金
福建省自然科学基金项目(2019J01224)。
