| | 1 | = LIDAR Classification = |
| | 2 | |
| | 3 | == Purpose == |
| | 4 | |
| | 5 | |
| | 6 | == Method == |
| | 7 | |
| | 8 | === classify_las.out === |
| | 9 | |
| | 10 | This is a c++ utility written to do basic classification on LAS files. The current classification algorithms include: |
| | 11 | |
| | 12 | * Isolated points - identify points as noise (classification 7) if there is no other point within x metres of it. |
| | 13 | * Absolute elevation - identify points as noise (classification 7) if they are above or below a given elevation. |
| | 14 | |
| | 15 | A fence can be used to only classify points within a rectangular boundary. |
| | 16 | |
| | 17 | '''Usage''' |
| | 18 | {{{ |
| | 19 | -lasfilein <LASFILENAME> The LAS file to be imported and classified |
| | 20 | -lasfileout <LASFILENAME> The name of the output LAS file |
| | 21 | |
| | 22 | optional flags |
| | 23 | |
| | 24 | -isolated x Run the isolated points algorithm using a distance of x metres |
| | 25 | -above x Run the absolute elevation algorithm classifying points with elevation above x metres |
| | 26 | -below x Run the absolute elevation algorithm classifying points with elevation below x metres |
| | 27 | |
| | 28 | -fence minx miny maxx maxy Use a fence whose bounds are given by minx,miny maxx,maxy |
| | 29 | }}} |
| | 30 | |
| | 31 | Currently only one method can be used per run of the software. This is due to be changed shortly. |