Powerpoint of the presentation given by IntellinQ, Mark Terlien and Milan Uitentuis during the symposium 'Management of massive point cloud data wet and dry' 8 december 2015 TU Delft. The symposium was organized by NCG, TU Delft and OGh.

1. IntellinQ © 20159‐12‐2015 1
IntellinQ
Managing and processing
massive amounts of maritime
point cloud data with GeolinQ
Milan Uitentuis and Mark Terlien

2. IntellinQ © 2015
Contents
• Spatial data management for maritime point clouds
• Challenges:
• Changing data and metadata definitions
• Querying and viewing point clouds
• Easy sharing of point cloud data
• High performance and easy administration
• GeolinQ as integrated point cloud management solution

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Spatial Data Management
• What is Maritime Spatial Data Management?
• Making spatial data discoverable, accessible and usable by a variety of users and applications
• Integration of maritime datasets into information products for:
• Safe navigation
• Morphological analysis
• Coastal zone management
• Offshore engineering
• Environmental impact assessment
• Importance of metadata (traceability, liability)

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Maritime Spatial Data Management

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Changing data definitions
• Changing data definitions:
• Traditionally: x, y, depth
• Nowadays:
• Additional attributes (e.g. time)
• Backscatter data for seabed classification
• Future:
• More data to come?

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Different data definitions

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Changing metadata definitions
• Changing metadata definitions:
• Traditionally:
• No standardized metadata definitions
• Metadata for specific domains
• Nowadays:
• Metadata standards mostly based on ISO19115 (e.g. S‐102)
• Combination of metadata standards and internal metadata
requirements
• Future:
• Changing metadata standards and requirements

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Preview of Point cloud with metadata

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Querying and viewing point clouds
• Querying on point cloud metadata attributes of different metadata schemas
(inheritance) and location
• Showing point cloud footprints on chart
• Visualisation of point cloud data on chart
• For integrated quality control of point clouds:
• Correct coordinate system transformations applied
• Correct vertical datum
• Same units for attributes

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Point cloud footprints and attribute data on chart

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Quality control

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Easy sharing of point cloud data
• Web based
• Data must be accessible in multiple ways (file as well as web service)
• Open standards and Open data?
• Spatial and metadata querying
• User‐defined styling

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Publishing as service

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Accessing point cloud WMS or Export to file

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High performance and easy administration
• Easy administration:
• Centralized database storage of point cloud data and metadata
• Authentication and authorization
• Flexible data model and metadata model
• User‐defined styling
• High performance:
• Database import and spatial indexing
• Point cloud visualisation and export

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Import algorithm
• No limitions on number of points, point cloud size, physical memory of hard disk
size
• Algorithm does not require any prior knowledge about number of points or MBR
• Optimized database storage of data chunks, no proprietary data types (database
independent)
• Automatic generation of visualisation pyramid
• Automatic delineation of point cloud foot print (TIN)

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GeolinQ as integrated point cloud management solution
Changing data definitions
Querying and viewing point clouds
Easy sharing of point cloud data
High performance and easy administration
Changing metadata definitions

18. IntellinQ © 2015
Contact
Milan Uitentuis
m.uitentuis@intellinq.nl
Mark Terlien
m.terlien@intellinq.nl
Websites:
www.intellinq.com
www.geolinq.com