Point Cloud Context Menu

Summary

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 LiDAR360 include LiData (*.LiData), LAS (*.las, *.laz), ASCII (*.txt, *.asc, *.neu, *.xyz , *.pts, *.csv), PLY (*. ply), and E57 (*.e57). 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 the point cloud, including the path of the data, the coordinate information, the minimum and maximum values of X, Y, and Z coordinates, the average and standard deviation of Z, the minimum and maximum GPS time, the minimum, maximum, and average intensity Value and standard deviation, point cloud bounding box, total points, point cloud category statistics and echo frequency statistics. If additional attribute information is included, the maximum, minimum and type of each additional attribute will be displayed. as the picture shows. Click the "Export" button to export the basic point cloud 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

      "Recalculate the histogram" is used to count and generate a histogram of all the points' elevation. When opening this function, the histogram of sampled points' elevation is displayed by default, and the histogram may be inaccurate. The recalculate the histogram function can take all the points' elevation into account, and generate an accurate histogram.

      The curve can be saved in pdf files. 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 Height.

    • 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

      "Recalculate the histogram" is used to count and generate a histogram of all the points' intensity. When opening this function, the histogram of sampled points' intensity is displayed by default, and the histogram may be inaccurate. The recalculate the histogram function can take all the points' intensity into account, and generate an accurate histogram.

      The curve can be saved in pdf files. 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: Please refer to Display by Class for details.

    • Display by RGB: Please refer to Display by RGB for details.
    • Display by Return Number: Please refer to Display by Return for details.
    • Display by GPS Time: Please refer to Display by Time for details.
    • Display by Tree ID: Please refer to Display by TreeID for details.
    • Display by Edge Flight Line: Please refer to Display by Edge Flight Line for details.
    • Display by Number of Return: Please refer to Display by Number of Return for details.
    • Display by Point Source ID: Please refer to Display by Point Source ID for details.
    • Display by Scan Angle Rank: Please refer to Display by Scan Angle Rank for details.
    • Display by Scan Direction: Please refer to Display by Scan Direction for details.
    • Display by User Data: Please refer to Display by User Data for details.
    • Display by Scanner Channel: Please refer to Display by Scanner Channel for details.
    • Display by Near Infrared: Please refer to Display by Near Infrared for details.
    • 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: Please refer to Display by Blend for details.

    • Display by Mix: Please refer to Display by Mix for details.
    • Display by Additional Attributes: The following window will popup.

      LayerTreePC_DisplayByAdditionalAttribute.png
      1. (Option) Select the attribute needs to set the color from the attribute drop-down list. 2. (Option) Select the index of the attribute needs to modify from the scalar index drop-down list box. 3. (Option)Select a random color and set the number of colors to be configured in the Number of Colors box. 4. (Option) Select a color bar from the color bar drop-down list. 5. Set the display range of the additional attribute through the minimum and maximum values (click Default to restore the maximum and minimum values calculated by the corresponding index of the attribute), click the Apply button, and the final display effect is shown in the following figure.
      LayerTreePC_DisplayByColorResult.png
  • 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), PLY (*.ply), and E57 (*.e57) format. The supported LAS version for export are 1.2,1.3,1.4, and the default version is 1.4. 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.
  • Point Brightness: Set the brightness of a single point cloud data or all the point cloud data, as shown below:

    LayerTreePC_PointLightness.png
    To set the brightness of all point cloud data, users can click the widgets.png icon in the settings tool bar. For more details, please refer to Display Options.

  • 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.

Note:Except the import data function, other right-click menu functions work on all viewers loaded with the point cloud.

results matching ""

    No results matching ""