激光主动探测成像中全景拼接的算法研究

Research on panoramic stitching in laser active imaging

激光主动探测成像是将激光技术、距离选通技术、微弱目标的成像处理等技术结合应用的一项新技术。因其分辨率高、抗干扰能力强、能够生成三维像的优点,广泛应用于各种探测领域。但这种方式获取的图像一般视场角偏小,不利于全局的观察和分析。本文描述了一种通过改进的并行SURF算法检测场景角点特征,能够高速实时地将相邻场景焦点特征相匹配的全景拼接方法。测试了这种方法的运行效率和拼接效果。利用改进后的SURF算法将小视角的图像拼接起来,增大了可视范围,提高了观察和分析的综合能力。并且将这一方法运用到了3D成像激光雷达距离信息的拼接中,测试了效果,验证了其可行性。本文提出的快速配准拼接算法,为高速实时大视场观察奠定了理论和实验基础。

Laser active imaging combines laser technology,range-gated technology,weak target imaging technology and so on.Because of its high resolution,strong anti-interference ability and the ability to generate three -dimensional image,it is widely used in various areas of detection.But in this way,the image＆#39;s field of view is usually small,which is not conducive to global observation and analysis.A panoramic stitching method based on the improved SURF algo-rithm is proposed,and it can quickly match target features of adjacent scenes.The efficiency of this approach and stitc-hing effect are tested through the experiments.The results show that this method can increase the visible range and im-prove comprehensive ability of observation and analysis,which lays a theoretical and experimental foundation for high-speed real-time large field of view observation.