#742: v.coregister / v.align : A module to translate and rotate a point cloud to best match one another ---------------------------------+------------------------------------------ Reporter: stevensj | Owner: [email protected] Type: enhancement | Status: new Priority: normal | Milestone: 6.4.0 Component: Vector | Version: unspecified Keywords: lidar, point, cloud | Platform: Unspecified Cpu: Unspecified | ---------------------------------+------------------------------------------ Often LiDAR data is collected as strips (e.g. airborne), or point clouds with different sources (e.g. ground-based). When the two files are combined they might be slightly offset, resulting in nasty artefacts. It would be excellent to have a module that would allow one point cloud to be adjusted to best fit another one. The same module would also be able to pin a dataset to ground control points.
Speaking to people working with airborne lidar, I have found the misregistration to be a common problem. It can also be an issue when combining datasets from different sources e.g. LiDAR and SRTM. I think that commercial LiDAR packages for ground-based scanners may have something like this, but as far as I know there is nothing for airborne stuff. The module may work by requiring the user to select points to match in each dataset. It could then return to parameters to give the best fit. This might be parameters to match A to B, B to A or turn both into some intermediate. It would also carry out the transformation if necessary. Maybe the parameters could be calculated on a thinned dataset to reduce processing time. A more advanced version might be able to pick the points automatically and to do some warping of the cloud, too. -- Ticket URL: <http://trac.osgeo.org/grass/ticket/742> GRASS GIS <http://grass.osgeo.org>
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