pointcloudcombiner.is often used to accumulate multiple point clouds into a single point cloud feature, but can also convert other geometries into point clouds and merge them.
Point and linear features will be converted point for point. Polygonal, donut, surface and solid features will be converted into a grid of points lying inside the area on the 3D plane represented by the area’s calculated normal. Any existing component values stored as measures or attributes can be preserved as components.
Rasters will be converted to point clouds as follows:
- 将从列和行创建x和y组件。
- The first selected numeric band will become the z component.
- The first selected bands with red/green/blue/gray interpretations will become the color_red/color_green/color_blue components.
- Additional selected bands will also be preserved. If the band has a name, the component name will be the band name. If the band has no name, the component name will be bandN, where N is the band index.
Input Ports
Input
This transformer accepts all geometries. Area-based geometries will be converted to point clouds according to the spacing parameter.
Output Ports
Output
单点云功能。
Parameters
Transformer
Group By
Use this parameter to organize point clouds into groups. Each group of point clouds will have its own output point cloud.
Parallel Processing
笔记：平行处理如何与FME一起使用：见About Parallel Processingfor detailed information.
This parameter determines whether or not the transformer should perform the work across parallel processes. If it is enabled, a process will be launched for each group specified by theGroup Byparameter.
Parallel Processing Levels
| Parameter | Number of Processes |
|---|---|
| 不Parallelism | 1 |
| Minimal | cores处理器或CPU是执行数学计算的计算机的物理部分。它是计算机系统中最重要的部分。传统的处理器在处理器上只有一个核心，这意味着在任何给定时间，只执行一组计算。如果处理器是双核，这意味着单个芯片包含两个处理器的硬件，现在称为核心，以将它们与单个芯片相同，并排沿同时运行。（来源：http：//www.ehow.com/facts_5730257_computer-core-processors_.html）/ 2 |
| Moderate | exact number of cores |
| Aggressive | cores x 1.5 |
| 极端 | cores x 2 |
例如，在四核机器上，最小的并行性将导致两个同时的FME进程。8核机上的极端并行性将导致16个同时流程。
您可以尝试此功能，并在Windows任务管理器和Workbench日志窗口中查看信息。
Input Ordered
不: This is the default behavior. Processing will only occur in this transformer once all input is present.
By Group: This transformer will process input groups in order. Changes on the value of theGroup By输入流上的参数将触发当前累计组上的批处理。如果组很大/复杂，则会提高整体速度，但如果输入组未真正订购，则可能导致不期望的行为。
Attributes
Accumulate Attributes
如果此参数设置为Yes, the attributes from the original features will be merged onto the output point cloud features.
Count Attribute
If you specify aCount Attribute参数（文本字符串），将添加此名称的属性将添加到每个输出功能中。
该属性包含组合以创建点云功能的功能数。
光栅参数
Extract Nodata
This parameter specifies whether points should be created for nodata cells in rasters. When set toYes, a point will be created for every cell in a raster, regardless of whether it is nodata. When set to不，不会为Nodata单元格创建点。对于每个所选择的频带，将小区被认为是Nodata，该单元的值等于该频带的Nodata值。如果任何单元值不等于该频带的Nodata值，则单元将被视为数据。
Vector Feature Interpolation
Point Interval
该参数控制用于生成用于表面，固体，多边形和甜甜圈的代表点网格的地面坐标之间的间距。您可以输入一个数字或从所选属性中提取值。
保存组件的措施
保存组件的措施
指定输入向量几何图形的措施，该测量应该保留为输出点云中的组件。还必须指定输出组件的类型。
Attributes to Preserve as Components
Attributes to Preserve as Components
指定输入功能上的属性，该属性应保留为输出点云中的组件。还必须指定输出组件的类型。注意，如果指定了相同的组件作为保留的度量和属性，则将是优选的测量值。
Editing Transformer Parameters
使用一组菜单选项，可以通过引用工作区中的其他元素来分配变压器参数。一些变压器也可提供更高级的功能，例如高级编辑器和算术编辑器。要访问这些选项的菜单，请单击
除适用的参数旁边。有关更多信息，请参阅Transformer Parameter Menu Options.
变压器类别
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Search for samples and information about this transformer on theFME Knowledge Center.
TagsKeywords: point "point cloud" cloud PointCloud coerce LiDAR sonar