Advancements In Visualization Of Remotely Sensed 3D Data
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The document discusses advancements in visualizing remotely sensed 3D data. It describes historical methods for managing large volumes of 3D point data, such as LiDAR and photogrammetry data, which included rasterizing, loading entirely into memory, decimation, and streaming from disk. A new advanced spatial indexing solution is introduced that allows for real-time rendering of massive 3D point clouds with unlimited size, compressed data, and low computer resource usage while preserving the full resolution and detail of the original data.
Advancements In Visualization Of Remotely Sensed 3D Data
- 2. Matt Bethel Advancements In Visualization Of Remotely Sensed 3D Data
- 3. 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
- 4. 3D Point Data Sources • ATE • SAR / IFSAR • LiDAR / LADAR – Airborne – Mobile – Terrestrial – Underwater – Autonomously collected • Newer processes – SFM (computer vision) – SGM (photogrammetry)
- 5. 3D Point Data Sources • ATE • SAR / IFSAR • LiDAR / LADAR – Airborne – Mobile – Terrestrial – Underwater – Autonomously collected • Newer processes – SFM (computer vision) – SGM (photogrammetry)
- 6. 3D Point Data Sources • ATE • SAR / IFSAR • LiDAR / LADAR – Airborne – Mobile – Terrestrial – Underwater – Autonomously collected • Newer processes – SFM (computer vision) – SGM (photogrammetry)
- 7. 3D Point Data Sources • ATE • SAR / IFSAR • LiDAR / LADAR – Airborne – Mobile – Terrestrial – Underwater – Autonomously collected • Newer processes – SFM (computer vision) – SGM (photogrammetry)
- 8. 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
- 9. 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
- 10. 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
- 11. 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
- 12. 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
- 13. Thank you Matt Bethel Director of Technology Merrick & Company matt.bethel@merrick.com 303-353-3662 http://www.merrick.com/Geospatial