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Future of Photogrammetry Rolta’s Vision

Future of Photogrammetry Rolta’s Vision. Agenda. Technological developments in Photogrammetry 3D mapping – Choosing the right combination Future of Photogrammetry Generation next. Technological developments in Photogrammetry: Data Acquisition and Processing.

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Future of Photogrammetry Rolta’s Vision

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  1. Future of PhotogrammetryRolta’s Vision

  2. Agenda • Technological developments in Photogrammetry • 3D mapping – Choosing the right combination • Future of Photogrammetry • Generation next

  3. Technological developments in Photogrammetry: Data Acquisition and Processing

  4. Technological Developments - Data Acquisition • Aerial digital camera systems • High resolution stereo satellite data • Integration with LiDAR systems • Sophisticated Sensor Models • Sensor advancements active/passive sensors • Real-time processing through automation • Self calibration of data collection instruments • New sensors for navigation-based georeferencing and imaging (2D / 3D)

  5. Technological Developments - Data Processing • Automatic sensor fusion based on the metadata • Unlimited computing power, storage and bandwidth • Automatic aerial triangulation and bundle adjustment • Utilization of open source software • Automatic large volume DTM Extraction • Automated 3D “Above ground” Feature • Automated true orthophoto generation • Request query capability and retrieval • ‘GIS driven’ data processing and storage

  6. 3D mapping: Choosing the right combination

  7. Depends on the Project RequirementsExample 01 • Large Areas • Purpose: Base Mapping • Difficult to Obtain Control Points or Want to minimize the Cost of Survey • Large Scale Mapping • Deliverables: Orthos, Contours, DTM…etc • Flying Permits Easy to Obtain • Timeline is not critical Digital Aerial Photography Technology (Push Broom or Frame Based)

  8. Depends on the Project RequirementsExample 02 • Application Base Mapping • Small Area • Flying Permits Difficult to Obtain • Accuracy is not Tight • Timeline is critical Stereo Satellite Imagery (QuickBird, WorldView, GeoEye , SPOT, IKONOS)

  9. Depends on the Project RequirementsExample 03 • Application : Utility mapping, Corridor Mapping • Area Difficult to Fly during the Daytime because of proximity to Airport • Timeline Critical LiDAR Technology Complement with satellite imagery if the Imagery is required

  10. Depends on the Project RequirementsExample 04 • Quick ortho along with detailed 3D feature mapping • Large Project Area LiDAR with Aerial Photography

  11. Future of Photogrammetry

  12. Future of Photogrammetry Very high resolution (<20 cm) satellite stereo Automatic 3D feature extraction On the fly ortho mosaic Web based Photogrammetry Photogrammetry on the cloud RDBMS support for storage and publishing

  13. Generation next

  14. Generation next Affordable photogrammetric infrastructure Seamless Integration with GIS solutions utilising the latest computing powers such as cloud Automated processes 3D maps on the fly for all geospatial applications

  15. Thank you

  16. Advances in Hardware • Distributed Parallel Processing • Multithreading • Dual Quad Core Computer systems ◄

  17. Pixel Factory High capacity and native open architecture is able to automatically process vast volumes of raw earth observation data from multiple sensors and produce a wide range of cartographic end products (e.g. Digital Surface Models, True Ortho, and Ortho mosaics) Multi-Sensor Pixel Factory throughput is about 3times less labor intensive Multi-End Products Multi-Data Source

  18. Traditional Orthoimage - Rectified from a DTM (ground floor) - Slanted building - Occluded areas True Ortho True Orthoimage - Rectified from a DSM - Straight buildings (roofs correctly located) - No occluded areas

  19. OrthoPhoto – Ground and True Ortho ◄

  20. PF vs Traditional Traditional Pixel Factory QC AT Total with QC Data Import Image mosaic Total without QC Cut line computation DEM computation Ortho-rectification Pixel Factory Performance Comparison

  21. Rolta GeoImaging Accelerator Combines High Performance Computing with Geospatial Intelligence to provide a significant improvement in speed and efficiency • A hardware-based, GPU enabled, high-performance image processing system • Design to process large volumes of imagery data • 40 times faster than standard Image processing software • 2-4 TB per day for desk-side system • 10 TB + for rack mounted system • Addresses Core Competencies: • Orthorectification • Pansharpening • Mosaics • DEM Extraction • Image Processing ◄

  22. RoltaGeoImaging Accelerator Processing Throughput

  23. A Federal Security Agency CRIME ANALYSIS FUSION CORE TRAFFIC Oracle Spatial Map Info ESRI Geo DB The Federal Security Agency has multiple standalone systems. Among these systems, data can exist in different formats, different coordinate systems, and different business systems. The Agency needs to be able to consume all this data And offer it to various stakeholders as a standardized, seamless and integrated dataset

  24. Is it possible? – Integration of businesses Secure GIS Private Cloud CRIME ANALYSIS FUSION CORE TRAFFIC Oracle Spatial Map Info ESRI Geo DB The Federal Agency must access both spatial and non-spatial data from these disparate systems,each using different technologies The Agency should then have a tool through which the information can collaborate And this has to be repeated for each and every layer.

  25. Secure GIS Private Cloud Amazon Cloud Rolta iPerspective RoltaOnPoint

  26. Rolta GIS Cloud Enterprise Integration ArcGIS RoltaiPerspective™ CRIME ANALYSIS FUSION CORE TRAFFIC Oracle Spatial Map Info ESRI Geo DB Identity Management Asset Management WS Catalog Location based Services ◄

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