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A point cloud is a collection of points with x,y,z coordinates which may be spaced irregularly.In FME a point cloud is treated as a single feature,similar to way FME treats rasters,and many transformers can act on the point cloud as a whole.The points within a point cloud may have attributes which are referred to as components in FME and include properties such as intensity,color,time etc.LIDAR is a term sometimes used to refer to point clouds but is in fact a technology used for capturing point cloud data.
FME can be used to translate point cloud data from one format to another using point cloud readers and writers in a workspace.Furthermore many transformers capable of working with point clouds are also available in FME for transforming point cloud in a workspace.
For more information on point cloud geometry in FME please see the Help on this FME Geometry:Point Clouds (IFMEPointCloud)
Point cloud datasets can be opened and viewed in 2D and 3D using the FME Data Inspector.Attributes of the entire point cloud and the components of individual points within it can be inspected using the FME Data Inspector.The articleViewing and Inspecting Point Cloudsprovides the steps and a sample which can be downloaded.
Point cloud data exists in a number of formats,including both file and database,which can be read by FME in a workspace for transformation and also for translation into other formats.The articleReading Point Cloudsprovides steps and a sample FME Workspace Template.
Building on the previous example,an FME Workspace can be used to translate point cloud data by reading the source data and writing it out to another format.The articleWriting Point Cloudsprovides the steps for writing point clouds into other formats.
The PointCloudCombiner is an FME transformer which can combine two or more point clouds into a single point cloud and can also combine other types of geometry into a point cloud.Point Clouds can also be thinned or decimated with the PointCloudThinner transformer.Three examples in the articleThinning and Combining Point Cloudsshows the use of these transformers.
Viewing and Inspecting Point Clouds
Thinning and Combining Point Clouds
Converting Point Clouds to Surface Models without Classification
Profiling and Slicing Point Clouds
Converting Point Clouds to Surface Models Using the PointCloudLASClassifier
What is a Point Cloud?What is LiDAR?
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