Point Cloud Context Menu

Brief

The context menus are used to for data import, removal, query, display, statistics, export, etc.

Data Type Context Menu

The user can open this menu by right clicking the point cloud data type.

  • Import Data: The point cloud data formats supported by LiPowerline include LiData (*.LiData), LAS (*.las, *.laz), ASCII (*.txt, *.asc, *.neu, *.xyz , *.pts, *.csv) and PLY (*. ply). The LiData is the proprietary point cloud data format, on which the point cloud processing are based. Other imported formats of LAS, ASCII and PLY will be converted to LiData for subsequent processing. This function is the same as the tool DataAdd.png Add Data.
  • Remove All: Remove all the point cloud data from the project.

Data Context Menu

The user can open this menu by right clicking a point cloud data object.

  • Info: View the basic information of point cloud data as shown below. Click the Export button to export the information as a *.txt file.
    LayerTreePC_Info.png

  • View Mode: Select the display mode of point cloud data between the following types.

    • Display by Height: The interface is shown as follows. The value range of display can be stretched by minimum/maximum or standard deviation in order to improve the visual effects.

      LayerTreePC_DisplayByElevation.png

      The curve can be saved in *.pdf format. Click the button "Save Curve" to pop up the following interface. Set the width, height, resolution, output path of the curve and click "OK" button to save the curve to local disk.

      LayerTreePC_DisplaySaveCurve.png

      The visual effects are consistent with the tool displayHeighth.png Display by Elevation.

    • Display by Intensity: The interface is shown as follows. The value range of display can be stretched by minimum/maximum or standard deviation in order to improve the visual effects.

      LayerTreePC_DisplayByIntensity.png

      The curve can be saved in *.pdf format. Click the button "Save Curve" to pop up the following interface. Set the width, height, resolution, output path of the curve and click "OK" button to save the curve to local disk.

      LayerTreePC_DisplaySaveCurve.png

      The visual effects are consistent with the tool displayinetesity.png Display by Intensity.

    • Display by Class: This function is the same as the tool displayclassfication.png Display by Class.
    • Display by RGB: This function is the same as the tool displaycolor.png Display by RGB.
    • Display by Return: This function is the same as the tool displayreturn.png Display by Return.
    • Display by Time: This function is the same as the tool displaytime.png Display by Time.
    • Display by TreeID: This function is the same as the tool ID.png Display by TreeID.

    • Display by Selected: Select user-defined color to display the point cloud data. The interface and the visual effects are shown below.

      LayerTreePC_DisplayByColor.png
      LayerTreePC_DisplayByColorResult.png

    • Display by Blend: This function is the same as the tool DisplayByHeightBlend.png Display by Blend.

    • Display by Mix: This function is the same as the tool displayMix.png Display by Mix.
  • Zoom to Layer: Calculate the bounding box of the current point cloud data. All the windows, in which the data object is loaded, will show full extent of the bounding box.
  • Restatistics: Recalculate the Mean Z, Std Z, Mean Intensity and Std Intensity of point cloud data. This function is used to repair older versions of LiData which may contain incomplete information.
  • Export: Export the point cloud data to LAS (*.las, *.laz), ASCII (*.txt, *.asc, *.neu, *.xyz, *.pts, *.csv) and PLY (*.ply) format. This function is the same as the tool export.png Export.
  • PCV: Process the point cloud data with PCV to improve the visual effects.
  • Point Size: The point size of each point cloud data object can be set separately or set uniformly according to the global settings. The shape of points can be set to circle or square. The interface is shown as follows.
    LayerTreePC_PointSize.png
    For global point size settings, see the usage of the tool ConfigurePointSize.png Configure Point Size.
  • Remove: Remove the selected point cloud data from the current project. This function is the same as the tool delete.png Remove.

Settings

  • Display by Height:
    • Color Bar: The colorbar supports several uniformly varying color intervals for color mapping.
    • Stretch: The stretch methods of the histogram.
      • Minimum and Maximum (Default): Apply a linear stretch based on the minimum and maximum pixel values, with the minimum and maximum pixel values as the endpoints for the histogram. For example, the minimum and maximum pixel values of the image could be 2488 and 2656 respectively. The values can be stretched linearly between 0 and 255. Distributing pixel values over the entire histogram range, the brightness and contrast of the image are increased and features in the image are easier to distinguish.
      • Std deviation: Apply a linear stretch between the pixel values defined by the std deviation (n) value. For example, the minimum and maximum pixel values of the image could be 2488 and 2656 respectively. If the value of standard deviation (n) is defined as 2, then the values beyond 2 standard deviation become 0 or 255, the remaining values stretch between 0 and 255.
  • Display by Intensity:
    • Stretch: The stretch methods of the histogram.
      • Minimum and Maximum (Default): Apply a linear stretch based on the minimum and maximum pixel values, with the minimum and maximum pixel values as the endpoints for the histogram. For example, the minimum and maximum pixel values of the image could be 2488 and 2656 respectively. The values can be stretched linearly between 0 and 255. Distributing pixel values over the entire histogram range, the brightness and contrast of the image are increased and features in the image are easier to distinguish.
      • Std deviation: Apply a linear stretch between the pixel values defined by the std deviation (n) value. For example, the minimum and maximum pixel values of the image could be 2488 and 2656 respectively. If the value of standard deviation (n) is defined as 2, then the values beyond 2 standard deviation become 0 or 255, the remaining values stretch between 0 and 255.
  • Save Curve:
    • Width: The width of the saved curve.
    • Height: The height of the saved curve.
    • Resolution: The resolution of the saved curve.
    • Output path: The output path of the saved curve.
  • Point Size:
    • Circular Points (Optional): Set the shape of the point to circle or square.
    • Specified set (Optional): Set the point size of the specified point cloud data separately.
    • Use global set (Optional): Set the point size of the specified point cloud data with global settings.

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