advancements in visualization of remotely sensed 3d data

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2013* GEOINT Lightning Talk presentation given by Matt Bethel, Director of Technology for Merrick & Company's Geospatial Solutions team. Presentation given on Monday, April 14, 2014 at the Tampa Marriott Waterside Hotel in Tampa, Florida.

TRANSCRIPT

Matt Bethel Advancements In Visualization Of

Remotely Sensed 3D Data

Agenda

• Review of 3D point data sources

• Historical methods of managing this data

• Introduction to a revolutionary and disruptive

technology for accessing and rendering unlimited

amounts of 3D data

3D Point Data Sources

• ATE

• SAR / IFSAR

• LiDAR / LADAR

– Airborne

– Mobile

– Terrestrial

– Underwater

– Autonomously collected

• Newer processes

– SFM (computer vision)

– SGM (photogrammetry)

3D Point Data Sources

• ATE

• SAR / IFSAR

• LiDAR / LADAR

– Airborne

– Mobile

– Terrestrial

– Underwater

– Autonomously collected

• Newer processes

– SFM (computer vision)

– SGM (photogrammetry)

3D Point Data Sources

• ATE

• SAR / IFSAR

• LiDAR / LADAR

– Airborne

– Mobile

– Terrestrial

– Underwater

– Autonomously collected

• Newer processes

– SFM (computer vision)

– SGM (photogrammetry)

3D Point Data Sources

• ATE

• SAR / IFSAR

• LiDAR / LADAR

– Airborne

– Mobile

– Terrestrial

– Underwater

– Autonomously collected

• Newer processes

– SFM (computer vision)

– SGM (photogrammetry)

Historical Point Data Handling Methods

• Rasterizing elevation data – Works well in open land

cover

– Cannot represent multiple height features

– Does not work with FOPEN data

• Loading points into memory (RAM)

• Point decimation

• Streaming from disc

• Vectorizing features

Historical Point Data Handling Methods

• Rasterizing elevation data – Works well in open land

cover

– Cannot represent multiple height features

– Does not work with FOPEN data

• Loading points into memory (RAM)

• Point decimation

• Streaming from disc

• Vectorizing features

Advanced Spatial Indexing Solution • Real time 3D data rendering at full resolution and detail

• Massive data (density, extent, or both) is now accessible and usable

• Compressed data size

• Data loads in 1 second no matter the size

• Unlimited amount of data to manage, load, display, etc.

• Low computer resource requirements

• Preserves true 3D data, not derivative products

• Capable of streaming 3D data across secured network or internet

• Cost savings - make use of data that already exists

• Centralized data storage

• Version control

• Opportunity for 3D imagery and 3D models

Advanced Spatial Indexing Solution • Real time 3D data rendering at full resolution and detail

• Massive data (density, extent, or both) is now accessible and usable

• Compressed data size

• Data loads in 1 second no matter the size

• Unlimited amount of data to manage, load, display, etc.

• Low computer resource requirements

• Preserves true 3D data, not derivative products

• Capable of streaming 3D data across secured network or internet

• Cost savings - make use of data that already exists

• Centralized data storage

• Version control

• Opportunity for 3D imagery and 3D models

Advanced Spatial Indexing Solution • Real time 3D data rendering at full resolution and detail

• Massive data (density, extent, or both) is now accessible and usable

• Compressed data size

• Data loads in 1 second no matter the size

• Unlimited amount of data to manage, load, display, etc.

• Low computer resource requirements

• Preserves true 3D data, not derivative products

• Capable of streaming 3D data across secured network or internet

• Cost savings - make use of data that already exists

• Centralized data storage

• Version control

• Opportunity for 3D imagery and 3D models

Thank you

Matt Bethel

Director of Technology

Merrick & Company

matt.bethel@merrick.com

303-353-3662

http://www.merrick.com/Geospatial

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