条纹管成像激光雷达条纹数据提取算法

条纹管成像激光雷达(STIL)是一种新型闪光式激光成像雷达,具有大视场、高分辨率、高帧频等优点,其条纹数据的准确提取是后期目标图像三维重构的关键,现有的峰值探测法忽略了噪声与CCD采样误差对目标条纹数据偏差的影响,在提取条纹数据时存在较大的误差。针对其影响并基于对特定回波波形及理论回波波形的分析,提出了一种新的条纹数据提取算法,不但能够有效降低噪声和CCD采样误差对条纹数据提取的偏差,更能够方便地去除系统的整体综合噪声。为验证该算法的准确性,设计了阶梯目标成像实验,实验结果表明该方法可以明显提高条纹管成像激光雷达条纹数据提取的精度。

Data Extraction Algorithm for Streak Tube Imaging Lidar

Streak tube imaging lidar (STIL) is a new type of flash laser radar. The characteristic of STIL is wide field of view and high resolution. The exact streak data extraction is crucial in the three-dimensional reconstruction of the target. The deviation caused by the noise and CCD sampling has been ignored by the existing peak detection method. It causes deviation when the data of the streak image is extracted. Based on the analysis of the returned waveform and the theory waveform, a method of streak data extraction algorithm is presented and it not only eliminates the deviation but also filters the system noise effectively. A ladder imaging experiment is designed to verify the accuracy of the algorithm. It shows that this algorithm can improve the accuracy of streak data extraction obviously.