Changes between Version 10 and Version 11 of Processing/LidarNoisyPoints


Ignore:
Timestamp:
May 10, 2017, 4:03:24 PM (7 years ago)
Author:
dac
Comment:

ARSF to NERC-ARF

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  • Processing/LidarNoisyPoints

    v10 v11  
    11= Post Processing LiDAR Point Clouds=
    22
    3 The usual form of delivery of the processed LiDAR data is in the form of a point cloud. This takes one of two forms; [http://arsf-dan.nerc.ac.uk/trac/wiki/FAQ/lidarasciiformat ASCII text files] or binary [http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html LAS] files. The files contain the coordinates of each detected LiDAR return, from these a raster DEM can be created.
     3The usual form of delivery of the processed LiDAR data is in the form of a point cloud. This takes one of two forms; [wiki:/FAQ/lidarasciiformat ASCII text files] or binary [http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html LAS] files. The files contain the coordinates of each detected LiDAR return, from these a raster DEM can be created.
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    55== Removing Noise Points ==
    66
    7 As part of the standard processing and quality checking of the LiDAR point clouds, ARSF-DAN classify 'noisy' points. This is done both by using automatic algorithms and by viewing the data. The noisy points can be one of the following:
     7As part of the standard processing and quality checking of the LiDAR point clouds, NERC-ARF-DAN classify 'noisy' points. This is done both by using automatic algorithms and by viewing the data. The noisy points can be one of the following:
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    99 * isolated points
    … …  
    1919=== Removing noisy points from ASCII files ===
    2020
    21 ARSF-DAN include a utility for removing these points from the ASCII files called 'pt_cloud_filter', which has both linux and Windows versions.
     21For data delivered prior to 2017 NERC-ARF-DAN include a utility for removing these points from the ASCII files called 'pt_cloud_filter', which has both Linux and Windows versions.
    2222
    2323To use, open the command line interface (in Windows: click start → click run → type ‘cmd’). Then type: