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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。
Striped tube imaging laser radar (STIL) is a new type of flash laser imaging radar with the advantages of large field of view, high resolution and high frame rate. The accurate extraction of fringe data is the key to 3D reconstruction of the later target image. Some peak detection method ignores the impact of noise and CCD sampling error on the target stripe data deviation, there is a big error in the extraction of stripe data. Aiming at its influence and based on the analysis of specific echo waveforms and theoretical echo waveforms, a new streak data extraction algorithm is proposed, which not only can effectively reduce the deviation of noise and CCD sampling error on stripe data extraction, but also can be easily removed The overall system of integrated noise. In order to verify the accuracy of the algorithm, a stair-target imaging experiment is designed. The experimental results show that the proposed method can significantly improve the accuracy of fringe data extraction for fringe tube imaging lidars.