Comparison of multichannel signal deconvolution algorithms in airborne LiDAR bathymetry based on wavelet transform

نویسندگان

چکیده

Abstract Airborne LiDAR bathymetry offers low cost and high mobility, making it an ideal option for shallow-water measurements. However, due to differences in the measurement environment laser emission channel, received waveform is difficult extract using a single algorithm. The choice of suitable processing method thus extreme importance guarantee accuracy bathymetric retrieval. In this study, we use wavelet-denoising denoise subsequently test four algorithms denoised-waveform processing, namely, Richardson–Lucy deconvolution (RLD), blind (BD), Wiener filter (WFD), constrained least-squares (RFD). simulation measured multichannel databases are used evaluate algorithms, with focus on improving their performance after data-denoising capability extracting water depth. Results show that applying wavelet denoising before improves extraction accuracy. perform better orthogonal polarization channel (PMT2) than shallow horizontal row (PMT1). Of RLD provides best signal-detection rate, RFD most robust; BD has computational efficiency, WFD performs poorly deep (< 25 m).

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ژورنال

عنوان ژورنال: Scientific Reports

سال: 2021

ISSN: ['2045-2322']

DOI: https://doi.org/10.1038/s41598-021-96551-w