机载激光测深去卷积信号提取方法的比较

摘要

To improve the extraction accuracy for airborne LiDAR bathymetry,a signal extraction method based on deconvolution is introduced in waveform processing in this paper.The received waveform is preprocessed by deconvolution,and the accurate positions of the LiDAR signals are determined by the peak detection.For the deconvolution,the validity of four common algorithms,namely,Wiener filter deconvolution,nonnegative least squares,Richardson-Lucy deconvolution and blind deconvolution,are comparatively studied and the performance of the proposed method is assessed by the defined metrics.The experimental results show that the Richardson-Lucy deconvolution can effectively recover the signal resolution with wide adaptation and high success rate.The proposed method compared to the traditional peak detection methods offers a higher detection rate and accuracy and a wider range of bathymetry.%为提高机载激光测深信号提取的精度,在测深波形数据处理中引入去卷积信号提取方法,即利用去卷积对波形进行预处理,再对去卷积后的波形实现峰值检测,以精确确定测深信号位置.通过定义性能评定指标对维纳滤波去卷积、非负最小二乘、理查德森-露西去卷积、盲源去卷积4种常用去卷积算法的信号复原能力进行对比分析,并对去卷积信号提取方法的信号检测能力进行验证.试验结果表明,理查德森-露西去卷积算法能够显著提高测深信号分辨率,且算法适应性强,成功率高;相比传统的峰值检测方法,去卷积信号提取方法具有更高的信号检测率、精度和更广的测深范围.