面向ICESat-2单光子激光雷达的陆地目标测距误差分析

Analysis on ranging error of terrain targets for ICESat-2 single-photon lidar

  • 摘要: 单光子激光雷达所获取的光子事件存在随机分布的特点,使得其激光测距值出现不确定性,从而降低了单光子激光雷达的测距精度。在不减小采样分辨率的情况下,采用累积邻近多光斑的光子事件来构建光子累积直方图,并基于反算的目标响应函数的时间重心来确定激光测距值。针对ICESat-2单光子激光雷达,以测距均方根误差(RMSE)和平均绝对误差(MAE)为性能指标,构建出一种综合考虑陆地地形、累积光斑数目和回波光子数等多因素对其测距误差影响的评估方法。同时,选取ICESat-2过境美国犹他州西瓦利城的某观测条带的随机地形数据进行验证分析。结果表明,所提出的激光测距值解算方法能够使该条带的测距RMSE值由114.25 cm降低到63.84 cm,MAE值由70.97 cm降低到48.52 cm,均优于ICESat-2数据产品提供的137.96 cm RMSE值和97.24 cm MAE值,这对提升单光子激光雷达在陆地区域的测距精度具有一定的借鉴作用。

     

    Abstract: The photon events acquired by the single-photon lidar have the characteristics of random distribution, which makes the laser ranging value be uncertain and reduces the ranging accuracy of the single-photon lidar. Under the circumstance that the sampling resolution was not decreased, an accumulative histogram of photon was constructed by accumulating photon events from the multiple contiguous spots. The range was determined on the basis of the time centroid of the derived target response function. As for the ICESat-2 single-photon lidar, a comprehensive evaluation approach of the range error was put forward by considering the effects of the terrestrial relief, the accumulative spot numbers and returned photons on the range error according to the root mean square error (RMSE) and mean absolute error (MAE). The random terrain on a strip of ICESat-2 in the West Valley City of American Utah was selected to validate the proposed method. The results demonstrate that the RMSE value is reduced from 114.25 cm to 63.84 cm and the MAE value is reduced from 70.97 cm to 48.52 cm. They outweigh the RMSE of 137.96 cm and MAE of 97.24 cm from the ICESat-2 products. The conclusions might provide some guidance for improving the ranging precision on the terrain.

     

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