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28.1.14. Point Cloud Extraction
NEW in 3.32
备注
These algorithms are only available if QGIS uses the PDAL library version 2.5.0 or newer.
28.1.14.1. Boundary
Exports a polygon file containing point cloud layer boundary. It may contain holes and it may be a multi-part polygon.
图 28.16 Extracting high vegetation and building polygons from an input point cloud layer
参数
Basic parameters
标注  | 
名称  | 
类型  | 
描述  | 
|---|---|---|---|
输入图层  | 
  | 
[point cloud]  | 
Input point cloud layer to calculate boundary for  | 
Resolution of cells used to calculate boundary 可选  | 
  | 
[数字]  | 
Resolution of cells used to calculate boundary  | 
Minimal number of points in a cell to consider cell occupied 可选  | 
  | 
[数字]  | 
Minimal number of points in a cell to consider cell occupied  | 
Boundary  | 
  | 
[vector: polygon] 默认:   | 
Specify the point cloud file to use as output. One of: 
  | 
Advanced parameters
标注  | 
名称  | 
类型  | 
描述  | 
|---|---|---|---|
Filter expression 可选  | 
  | 
[expression]  | 
A PDAL expression for selecting a subset of features in the point cloud data  | 
Cropping extent 可选  | 
  | 
[范围]  | 
A map extent for selecting a subset of features in the point cloud data Available methods are: 
  | 
输出
标注  | 
名称  | 
类型  | 
描述  | 
|---|---|---|---|
Boundary  | 
  | 
[vector: polygon]  | 
Output polygon vector layer with the point cloud boundary.
Currently supported format is   | 
Python代码
Algorithm ID: pdal:boundary
import processing
processing.run("algorithm_id", {parameter_dictionary})
当你在数据处理工具箱某个算法前悬停时,算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。
28.1.14.2. Density
Exports a raster file based on the number of points within each raster cell - useful for quality checking of point cloud datasets.
图 28.17 Point density (number of points per 2x2 m) as a raster
参数
Basic parameters
标注  | 
名称  | 
类型  | 
描述  | 
|---|---|---|---|
输入图层  | 
  | 
[point cloud]  | 
Input point cloud layer to export  | 
Resolution of the density raster  | 
  | 
[数字] 默认值:1.0  | 
Cell size of the output raster  | 
Tile size for parallel runs  | 
  | 
[数字] Default: 1000  | 
Size of the tiles to split the data into for parallel runs  | 
Density  | 
  | 
[栅格] 默认:   | 
Specify the raster file to export the data to. One of: 
  | 
Advanced parameters
标注  | 
名称  | 
类型  | 
描述  | 
|---|---|---|---|
Filter expression 可选  | 
  | 
[expression]  | 
A PDAL expression for selecting a subset of features in the point cloud data  | 
Cropping extent 可选  | 
  | 
[范围]  | 
A map extent for selecting a subset of features in the point cloud data Available methods are: 
  | 
X origin of a tile for parallel runs 可选  | 
  | 
[数字]  | 
|
Y origin of a tile for parallel runs 可选  | 
  | 
[数字]  | 
输出
标注  | 
名称  | 
类型  | 
描述  | 
|---|---|---|---|
Density  | 
  | 
[栅格]  | 
Output raster layer with number of points within each cell.
Currently supported format is   | 
Python代码
Algorithm ID: pdal:density
import processing
processing.run("algorithm_id", {parameter_dictionary})
当你在数据处理工具箱某个算法前悬停时,算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。
28.1.14.3. Filter
Extracts point from the input point cloud which match PDAL expression and/or are inside of a cropping rectangle.
图 28.18 Filtering of high vegetation class from an input point cloud layer
参数
标注  | 
名称  | 
类型  | 
描述  | 
|---|---|---|---|
输入图层  | 
  | 
[point cloud]  | 
Input point cloud layer to export  | 
Filter expression 可选  | 
  | 
[expression]  | 
A PDAL expression for selecting a subset of features in the point cloud data  | 
Cropping extent 可选  | 
  | 
[范围]  | 
A map extent for selecting a subset of features in the point cloud data Available methods are: 
  | 
Filtered  | 
  | 
[point cloud] 默认:   | 
Specify the point cloud file to export the data to. One of: 
  | 
输出
标注  | 
名称  | 
类型  | 
描述  | 
|---|---|---|---|
Filtered  | 
  | 
[point cloud]  | 
Output point cloud layer with the filtered features of the input point cloud layer.
Currently supported formats are   | 
Python代码
Algorithm ID: pdal:filter
import processing
processing.run("algorithm_id", {parameter_dictionary})
当你在数据处理工具箱某个算法前悬停时,算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。