isprsarchives XXXVIII 5 W12 97 2011
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The second effect is that the laser beam will pass through the mesh to sample the underlying surface, which causes the sampled point being biased due to the return signal
Figure 7: The initial terrain points (black crosses) detected from the Gaussian decomposition method (performed over the whole waveform) and the new terrain points (blue
The automatic pole detection method tested in this study is based on first finding point clusters that are good candidates for poles and then separating poles
Figure 8: Horizontal angle residuals versus vertical angle plot of unmodelled 1’ collimation axis error in point-based self- calibration for panoramic
The defined neighbourhood system is implemented based on the local point density, 3D relationships between the points, the local surface trend and the expected level of
Figures 8 left and right, show the extracted ground segment and the refined one from the second and third phases, it is clear that the segmentation parameters which have been
clouds, while possible point within the data with the relati registration ste parameters of surface registr Inhere, the IC one-step (mu presented, sta mathematical the performan
The paper proposes a new LIDAR point classification method based on the sequential skewness and kurtosis analysis of elevation and intensity point distribution