| | 1 | = Post Processing LiDAR Point Clouds= |
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| | 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; [link ASCII text files] or [http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html binary LAS] files. 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: |
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| | 5 | * isolated points |
| | 6 | * isolated clusters of points |
| | 7 | * water induced noise |
| | 8 | * cloud noise |
| | 9 | * system noise |
| | 10 | |
| | 11 | It is advised that these points be removed before using the data, unless they are of specific use to your studies. |
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| | 13 | == Removing Noise Points == |
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| | 15 | When a point has been identified as being 'noise' it is given a classification value of '7'. |