Comparison of Signal Extraction Method for Airborne LiDAR Bathymetry Based on Deconvolution

doi:10.11947/j.AGCS.2018.20170501

Abstract

Abstract: 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.

Key words: airborne LiDAR bathymetry, deconvolution, signal detection, signal recovery, Richardson-Lucy deconvolution

CLC Number:

P237

WANG Dandi, XU Qing, XING Shuai, LIN Yuzhun, LI Pengcheng. Comparison of Signal Extraction Method for Airborne LiDAR Bathymetry Based on Deconvolution[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(2): 161-169.

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