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Max. Speed: The maximum speed value, either a maximum, minimum or equal to value. Toggle the 🛇, ≤, ≥, =, ≠, ⪥, and <> buttons to define the value.
False Alarm Probability: The false alarm probability value, either a maximum, minimum or equal to value. Toggle the 🛇, ≤, ≥, =, ≠, ⪥, and <> buttons to define the value.
Classification Filter: Enables you to filter by one or more track classification types. Just click the required types to highlight them or deselect all to remove the filter. Classification options are:
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History: Select this icon to open the Track Details window. The Track Details window contains two tabs: Sightings and Classification.
Video Playback: Select the ▶️ icon to play a video of the track. This option will play a video of the recorded track if you have the Videoloft plugin configured and functioning. Please refer to: /wiki/spaces/TUN/pages/2305163265.
Status: Change the status to draw specific attention to the track, and save from default track data culling.
Track Correlation: This feature searches for previous tracks that have been marked as lost, which are likely to be associated with the selected track. If the system detects such a correlated track, it will highlight it.
On the top left of the Track Query panel there are the following icons to be used with selected tracks:
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Classification: The track classification and the confidence level.
Show All Details: When selected this option will display more data the Track Details table:
Deletion Reason: The reason the track was dropped and deleted
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ML Classified: If the ML Classification feature has been enabled in the Track Engine configuration, then this will be selected.
False Alarm Probability Min: The system calculates a false alarm probability score for each track.
False Alarm Probability (%)Max: The system calculates a false alarm probability score for each track.
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The Add Truth Data is applied for use with the ML Classification feature if it enabled in the Track Engine configuration. |
Play Video: This option will play a video of the recorded track if you have the Videloft plugin configured and functioning. Please refer to: /wiki/spaces/TUN/pages/2305163265.
Locate: This option will pinpoint the track on the PPI.
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Recorded Time: The time and date of each sighting.
SpeedAdjusted Weight: The speed total number of that track per sighting.Course: The direction of travel per sightingcells that make up the target, taking into account that cells increase in size over range due to the radar beam width.
Adjusted Strength: The sum of the signal strength for each cell which makes up the target, taking into account that signal strength will vary with range.
Range (m): Distance of sighting from radar.
Speed: The speed of that track per sighting.
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Course: The direction of travel per sighting.
Classification: The type of track.
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Reclassifying: This will be selected if the track sighting has been reclassified.
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Strength: The radar signal strength for a target, for each sighting.
Adjusted Weight: The total number of cells that make up the target, taking into account that cells increase in size over range due to the radar beam width.
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Adjusted Strength: The sum of the signal strength for each cell which makes up the target, taking into account that signal strength will vary with range.
False Alarm Probability: The system calculates a false alarm probability score for each track sighting.
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This tab is explained under Classification Configs: https://navtechradar.atlassian.net/wiki/spaces/TUN/pages/790069631/Classification+Configs#Classification-Config.
Add Truth Data
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Clicking on the Add Track button will open an Add Truth Data panel.
This is used within the ML (Machine Learning) Classification feature which uses the first 10 sightings of a track in order to identify the classification of that track.
You can correct the classification of a track, and this will add to our track models which make predictions about future tracks.
Please refer to ML Classification for more information about this feature.
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Classification: Select the correct classification for the truth data track.
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Description: A description can of the example data track must be added. For example, this could be the reclassification of the track or where it was seen on the carriageway.
Debris: Indicates if the truth data has come from the debris channel.
First Sighting: Sets the first sighting to be used for the truth data. This allows you to ignore the first part of the track if its it's not useful to be included as part of the truth data.
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We recommend using only a few good examples for the Truth Data, and a balanced number of each classification type, as having too many of one classification type can bias the system. |
ATI Query
This query searches through tracks looking for whether they were created. The process of creating tracks is known as Automatic Track Initiation: ATI. The results display the start point of each track returned by the query. The ATI points are displayed as green squares which are overlaid with each other. Blocks of higher colour intensity indicate a greater number of tracks have been created in these areas. The filter options are as follows:
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