This article explains how to include GCPs on PIX4Dcloud Advanced for automatic detection.
IN THIS ARTICLE
Image and GCP requirements
Upload the GCP file
Define the GCP coordinate system
See and edit the defined control points
Start processing
Image and GCP requirements
For the AutoGCPs detection algorithm to succeed, the following requirements regarding the images and the GCPs must be met. Additional information and best practices are available in Automatic detection of targets - AutoGCP algorithm.
Image requirements
- Image quality has to be good (blurry or low-contrast images make the algorithm fail).
- Images have to be geolocated in WGS84 (EPSG:4326).
- Images' geolocation accuracy has to be equal to or better than 5 meters horizontally and 10 meters vertically.
- Images have to be taken at nadir or slightly oblique angles.
GCP requirements
- Squared, diagonal, and Aeropoints targets are supported.
- The recommended size is a minimum of 20 times the average GSD of the project.
Example: If the average GSD of the projects is 2.5 cm (1 inch), the recommended target size is 50 cm (20 inches).
- Black and white targets are supported. Other colors may work in some circumstances.
- GCPs must be placed at a distance of at least 10 m from each other.
- GCPs must have a projected coordinate system.
Upload the GCP file
- Follow the instructions to create a new dataset.
- Once at step 4. GCPs automation, select Upload file.
- Browse the CSV file which contains the GCPs' details and click Open.
- The GCPs are imported.
- (Optional) Click Replace file to upload a new GCP file.
- (Optional) Click to delete the GCP file.
- First column (required): Label.
- Second column (not required): Type (either GCP or CHECKPOINT with capital letters). The default value is GCP.
- Third column (required): X coordinate.
- Fourth column (required): Y coordinate.
- Fifth column (required): Z coordinate.
- Sixth column (not required): XY accuracy.
- Seventh column (required if the sixth column is defined): Z accuracy.
001_,GCP,4392829.089,5386534.037,424.524
002_,GCP,4392772.823,5386545.0894,424.582
003_,GCP,4392732.981,5386516.197,424.723
004_,CHECKPOINT,4392761.505,5386468.789,422.646
005_,GCP,4392755.707,5386431.546,426.298
006_,GCP,4392832.252,5386456.906,427.001
Define the GCP coordinate system
Once the CSV file is uploaded, specify the additional properties for the GCPs.
- Coordinate system: Drag and drop a PRJ file defining the coordinate system, or search a coordinate system based on: EPSG code or name of the coordinate system.
Importing GCPs on PIX4Dcloud Advanced project.
See and edit the defined control points
Click See and edit control points to access the control points Table.
Control points Table
The Control points Table lists the imported control points and their properties.
- Ensure that the imported coordinates are correct.
- (Optional) Change the Type of the control points by opening the dropdown menu and selecting GCP or Checkpoint.
- (Optional) If the values are inverted, easily swap Easting with Northing coordinates by opening the dropdown menu when clicking one of the two words in the table header.
Changing the Type of the control points from CGP to Checkpoint.
Control points Map
When clicking Map, an OpenLayers map is displayed with the GCPs and Checkpoints.
- Ensure that the control points are displayed at the expected locations. If this is not the case, the coordinate system and/or values have been incorrectly defined.
- (Optional) Click on a point to switch from GCP to CP or the other way around.
- (Optional) Click Save to save the changes.
Start processing
Click Process to conclude the dataset creation and to start uploading the input files for processing.
- The dataset starts to be processed.
- The AutoGCPs detection algorithm will run. If the GCPs are not found, an email is sent to the user email address explaining that no GCPs were found and the processing will be done without using them.
- When the process is finished, an email is sent and the Quality Report of the project is attached.
- In the Files > GCPs section of the project, if the algorithm detected the GCPs, the details of the GCP marks will be shown.