About this release
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Point cloud and 3D editing
- We have introduce a new datatype called Point cloud.
- Point clouds support 3D editing.
- When points are deleted, they are not removed from the dataset, but they are flagged as deleted. They can later be un-deleted.
- It is possible to set user defined flags on points. You may later display points with a flag in a specific color, or extract points with a flag to a new dataset.
Point cloud display
- We now support displaying a black point outline on point clouds. The black outline is drawn slightly "behind" the color fill.
- This means that the black outline will not be drawn between two points that are close together.
- This is a nice silhouette effect, which gives more "depth" to the visualization.
- It is a lot easier to see single points, and points that stick out from a group of points.
The command Function has been updated
- Update of the graphical user interface
- The command now has a list of the variables used in the function.
- You can use field data as input in function.
- You can use other grids as input for functions executed on both grids and poly data.
- When you use another grid as input, the function will do an interpolation in the grid based on the x and y coordinates of the points in the input dataset.
- This means that grids do not need to have matching grid nodes in order to do mathematical operations on two or more grids.
- A new predefined function command "Grid to grid function" was added which can be used for grid to grid mathematical operations.
Graphics
- LOD grid display is now much faster.
- Actors in the graphics window is now updated when the dataset in the project changes.
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- In this version of Geocap we introduce the Point cloud data type for xyz data.
- The data type is introduced to utilize the functionality developed for Multibeam data for editing and flagging points by displaying data in the 3D or 2D graphics.
- By using the Point cloud Editor the user can delete or flag points directly in 3D. It is also possible to turn on and off flagged points in the display.
- The Point cloud data displayed in 3D can also be automatically viewed in the Cross section window.
Crossline Analysis
- This new tool can be used during a patch test.
- By following the procedure and gridding selected survey lines, this tool can be used to compare the cross lines with the grid.
- The tool will calculate the deviation between the points and the gridded surface, group the beams, and report the uncertainty and how large percent are within the different IHO order definitions.
- The output will be a report and a table which for instance can be exported to excel.
THU and TVU and Backscatter display
- Display Multibeam Data can now display additional information from the Multibeam data.
- The calculation of THU (Total Horizontal Uncertainty) and TVU (Total Vertical Uncertainty) is using information from each instrument which needs to be known in advance.
Eiva NaviModel support
- Eiva databases can be imported as XYZ data into Geocap.
- The user interface will list the available survey lines in the database, and the user selects which lines to import.
- The data are imported as Point cloud data.
GSF support
- Geocap now supports GSF (Generic Sensor Format) files that do not contain the enough information to recalculate the XYZ position of each ping and beam in a multibeam survey line.
- Geocap will handlethis type of data as xyz point cloud data
Reader for R2Sonic XTF files
- R2Sonic XTF files are now supported. Previously R2Sonic data was read as GSF files only.
Shelf
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- It is now possible to generate base point connection polygons for mid-lines. Just tick the check box on the menu.
- The command has been updated to handle user specified calculation area
- Accuracy has also been greatly improved in the mid-line generation. We have removed the "Result point accuracy" option in the command. Instead, the new algorithm will make an effort to make the mid-line points as accurate as possible.
Tri-point calculation
- The mid-line generation will now automatically detect tri-points between three baselines, and include them in the mid-line.
- In the resulting mid-line table view, you will see the reference to neighboring countries baseline points.
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