多光谱激光雷达波形数据处理及应用

Processing and application of multispectral lidar waveform data

多光谱全波形激光雷达可同时获取隐含光谱信息在内的全波形综合信息,波形分解是影响多种回波参数反演精度的关键技术。提出了一种适用于多光谱激光雷达数据的波形分解方法,对各个通道灵活选择拟合子函数,充分利用多个通道之间的空间相关性,实现对目标的空间位置和光谱信息的精确提取;建立了光谱空间和RGB色彩空间之间的映射关系,实现目标的三维色彩重建。实验测试结果表明:该方法有效克服了环境光干扰,可实现全天时的目标三维色彩重建。通过与现有方法比较,误差标准差和决定系数R2这两个误差评估指数均验证了所提出的方法具有更高的测距精度和色彩信息反演精度。另外,实验结果验证了实验测试结果表明:该方法可实现全天时的目标三维色彩重建,有效克服了弱回波信号丢失、环境光干扰等影响,通过设定最佳脉冲累积数可有效提高兼顾了目标的测距精度和色彩信息反演数据处理精度和扫描效率。未来可通过优化激光探测波段,将该方法拓展到其他激光雷达系统上,进一步提高目标三维色彩重建精度。

Multispectral full-waveform lidar can simultaneously acquire full-waveform comprehensive information including implicit spectrum information.Waveform decomposition is a key technology that affects the accuracy of multiple echo parameter inversion.A waveform decomposition method suitable for multispectral lidar data was proposed,which flexibly selected fitting sub-functions for each channel and made full use of the spatial correlation between multiple channels to achieve accurate extraction of the spatial position and spectral information of the target;the mapping relationship between the spectral space and the RGB color space was established to achieve the target three-dimensional color reconstruction.Experimental test results show that th is method can achieve full-time 3 D color reconstruction of the target,effectively overcome the influence of weak echo signal loss and ambient light interference,and effectively improve the accuracy of target ranging and color information inversion.The experimental results show that the method effectively overcomes the interference of ambient light and can achieve the target three-dimensional color reconstruction throughout the day.By comparing with existing methods,the two error evaluation indexes of error standard deviation and determination coefficient R2 both verify that the proposed method has higher ranging accuracy and color information inversion accuracy.In addition,the experimental results verify that the optimal pulse accumulation number can effectively balance the data processing accuracy and scanning efficiency.In the future,the proposed method can be extended to other lidar systems to further improve the accuracy of target 3 D color reconstruction by optimizing the laser detection bands.