ADMIRALTY GAM
Seamless User Experience
The ADMIRALTY GAM joins the roster of AI driven services offered on the CARIS Mira AI platform to identify sonar noise within bathymetric data sets. The service provides the same levels of certainty and accuracy achieved through human identification, while significantly reducing the amount of effort and time spent on this process. This allows experts to invest newly available time and resources into analyzing and delivering additional value to data.
The UK Hydrographic Office has been investing into the use of AI and machine learning to tackle the increasing levels of bathymetric data cleansing and verification tasks. Working with Teledyne CARIS, it brings this new service directly into workflows, creating a seamless user experience.
© Crown Copyright 2021 UK Hydrographic Office
Core Features
Seamless workflow
Accelerate data processing by seamlessly integrating CARIS MIRA AI ADMIRALITY GAM in your HIPS or Onboard workflow.
Cloud Based
The model is a cloud-based algorithm which is securely accessed directly from the HIPS and SIPS or Onboard software. The algorithm assigns soundings within point clouds as noise. These soundings can then be rejected while running the ADMIRALTY GAM Service or can be reviewed in the Subset Editor for further evaluation.
GAM
The ADMIRALTY GAM Service classifies sonar noise using an enhanced Generalized Additive Model (GAM). This model works through point cloud data and adapts to identify noise within the data set.
Complimentary workflow
For the best results always use the right tool. The ADMIRALTY GAM Service has been especially tailored to work with single track multi-beam sonar data such as that collected on a research cruise or voyage. This pairs perfectly with the CARIS Sonar Noise Classifier which is tailored for shallow water surveys. Together the tools bring the benefit of AI for noise removal to a full range of data processing scenarios.
How it works
The ADMIRALTY GAM Service classifies sonar noise using an enhanced Generalised Additive Model (GAM). This model works through your point cloud data adapting to identify noise within your data set.
The model is a cloud-based algorithm which is securely accessed directly from the HIPS and SIPS or CARIS Onboard software. The algorithm assigns soundings within your point cloud as noise. These soundings can then be rejected whilst running the ADMIRALTY GAM Service or can be reviewed in the Subset Editor for further evaluation.
Cleaned Data Set with noise shown in grey
Cleaned Data Set with noise removed
For the best results always use the right tool. The ADMIRALTY GAM Service has been especially tailored to work with single track multi-beam sonar data such as that collected on a research cruise or voyage. This pairs perfectly with the CARIS Sonar Noise Classifier which is tailored for shallow water surveys. Together the tools bring the benefit of AI for noise removal to a full range of data processing scenarios.
If you have questions please Contact Sales or contact us by phone at one of our Office Locations.
© Crown Copyright and/or database rights. Reproduced by permission of the UK Hydrographic Office (www.GOV.uk/UKHO)
Downloads
Datasheets
| Document | Type |
|---|---|
| ADMIRALTY GAM Service Sheet |
