Semi-empirical waveform decomposition method for correction of near water surface penetration error in airborne LiDAR bathymetry

doi:10.11947/j.AGCS.2023.20210603

Abstract

Abstract: The accuracy of signal detection is a key factor that affects the final measurement results of airborne LiDAR bathymetry. To solve the problem that green laser penetrates the water column in near water surface and improve the accuracy of the detected water surface signal, a semi-empirical waveform decomposition method is proposed. A semi-empirical signal convolution model that conforms to the field waveforms is constructed by simplifying the laser radiation transmission model. Deep water waveform samples are manually collected using the flight trajectory and image to estimate the initial values and ranges of the water column parameters in the model. Based on the trust region algorithm, each component of the waveform is precisely reconstructed with the constraints of the waveform priors, so the position of the water surface signal is obtained, and the near water surface penetration error is corrected. The experimental results show that the proposed method combines theory and experience in waveform decomposition, adapting to waveforms with different water depths and improving the accuracy of the detected water surface signal with good waveform fitting. Compared with the deconvolution algorithm and the traditional waveform decomposition method, the accuracy of the proposed method achieves 44% and 51% improvement, respectively.

Key words: airborne LiDAR bathymetry, waveform decomposition, convolution, water attenuation coefficient, signal detection

CLC Number:

P237

WANG Dandi, XU Qing, XING Shuai, LIN Yuzhun, ZHANG Guoping. Semi-empirical waveform decomposition method for correction of near water surface penetration error in airborne LiDAR bathymetry[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(6): 944-955.

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