2021
DOI: 10.1016/j.rse.2021.112326
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A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering

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Cited by 86 publications
(34 citation statements)
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“…All the ATL03 ground tracks were first processed using a filtering and refractioncorrection algorithm [28,46]. In this algorithm, a density-based variable elliptical filter was employed to separate sea surface and seafloor photons from noisy raw ATL03 photons.…”
Section: Data Pre-processingmentioning
confidence: 99%
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“…All the ATL03 ground tracks were first processed using a filtering and refractioncorrection algorithm [28,46]. In this algorithm, a density-based variable elliptical filter was employed to separate sea surface and seafloor photons from noisy raw ATL03 photons.…”
Section: Data Pre-processingmentioning
confidence: 99%
“…As shown in Figure 4a,b, the high correlation (R 2 > 0.8) of the SDB models is mainly distributed in two areas of band selection. A suitable dual-band selection strategy is to choose two bands from blue to green light (bands 1 to 9 of Zhuhai-1), while another strategy is to choose one band from the red bands (bands 10-17 of Zhuhai-1) and the other from the near-infrared bands (bands [19][20][21][22][23][24][25][26][27][28][29][30][31][32]. When two suitable bands were selected by the two strategies, the R 2 between the depths of the ground tracks and the estimated depths were over 0.8; additionally, RMSEs were less than 1.5 m.…”
Section: Band Selection For Zhuhai-1 Bathymetrymentioning
confidence: 99%
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“…Thus, there is a change of light speed between the two media that results in a systematic bias in the calculated bottom depth. The light-correction algorithm of Parrish et al [42] was applied to remove this effect from the bottom depth obtained in #4 above, where the uncertainty of the corrected depth is extremely low (a few centimeters) [21,42,43].…”
Section: Datamentioning
confidence: 99%