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Combining 3D Imagery and Lidar
with ArcGIS in aerial and mobile
         applications


      Aldo Facchin – Geosoft Srl (Italy)
               www.geosoft.it
Geosoft Srl - Italy

Who we are ?

   An italian company focused on software products for …
     •   Map production
     •   3D photogrammetry
     •   LiDAR
     •   Mobile Imaging & Laser Scanning (from vehicle)


   Founded in 1992


   Main markets (last 3 years) :
     •   70-85 % Map, Survey and Engineering industry
     •   15-30 % Public Administration, University and Research
Geosoft Srl - Italy

Our offer…


  A family of ArcGIS Desktop stereoscopic extensions for :
      Aerial photogrammetry and lidar (with a patented method)
      Terrestrial Laser Scanning
      Mobile Laser Scanning
Aerial Stereo Imagery and Lidar
            ArcGDS Stereo + LiDAR extension
Aerial Stereo Imagery and Lidar
3D Imagery and Lidar are better if combined


Geodatabase updating using orthophotos :

   Well known datatype
   Large diffusion
   Poor photointerpretation
   Difficult to collect XY position
   Impossible to collect HEIGHT / Z values
   Your world is flat



                   We need a 3D system
Aerial Stereo Imagery and Lidar
3D Imagery and Lidar are better if combined




GIS is a “decision support system”
Which kind of decisions you can take if your
   data aren’t enough accurate ?


Please take care about accuracy...
Aerial Stereo Imagery and Lidar
3D Imagery and Lidar are better if combined



If the ortophoto exists, also the
     overlapped images exist...

“Imagery” is the cheapest dataset
   already ready for 3D



      3D Imagery
is part of the “photogrammetry”
      workflows and products


           LiDAR
  is the emerging technology
       naturally “born for 3D “
Aerial Stereo Imagery and Lidar
3D Imagery and Lidar are better if combined


Photogrammetry (3D imagery) alone is
   not enough…

   Optimal photointerpretation (image data
   is continuous)
   Use of RGB, CIR images with 8+ bit per
   channel
   Already experienced operators, well
   known procedures and system
   New digital cameras have bad B/H ratio
   so Z quality is poor
   Data quality is not constant (Z in
   particular) because depends on the
   operator (stereoscopic perception)
   Image correlation often have problems
   exactly where we need (for ex. roof
   edges)
Aerial Stereo Imagery and Lidar
3D Imagery and Lidar are better if combined


LiDAR alone is not enough…

   Optimal precision (especially Z) respect
   to the photogrammetry at the same flight
   height
   Possibility to classify the points cloud
   Data quality is constant (Z in particular)
   because does not depend on the
   operator (snap)
   Data have low costs and short
   acquisition times
   Interpretation is very poor because the
   data are discrete
   Point density impacts a lot on cost
   The points don’t have directly the color
   of the objects
   XY precision is poorer than Z
Aerial Stereo Imagery and Lidar
3D Imagery and Lidar are better if combined


The solution :
Aerial Stereo Imagery and Lidar
3D Imagery and Lidar are better if combined

The solution :

   The operator move the cursor
   observing the imagery stereo scene

   The software update the cursor
   height according with the point cloud,
   using different alghoritms

   Stereo imagery are used for XY and
   photointerpretation

   LiDAR point clouds are used for updating collimation mark
   height (Z)

   The point cloud is better than using DSM or other
   resampled products

   The operator has only the “check” the collimation
   mark height (Z), not directly and carefully position it !
Aerial Stereo Imagery and Lidar
3D Imagery and Lidar are better if combined


   We requested to register a patent
   for the industrial process of
   producing maps using 3D
   imagery and lidar...

   The European Patent Office
   approved it !!!

   The patent will be extended in
   Europe, USA, Canada, Brasil,
   India, etc.
Live demo
ArcGDS Stereo + LiDAR extension
Aerial Stereo Imagery and Lidar
3D Imagery and Lidar are better if combined


Characteristics of ArcGDS LiDAR method (patent pending)

It’s a tool for the production of high quality 3D geodatabases.
     Photointerpretation is available (photos, 3D...not orthophoto)
     LiDAR acquisition allow much better Z precisions than photo-
     mapping or orthophoto digitalization
     Mapping (for ex. streets or buildings) is coherent with LiDAR
     Operator checks Z during mapping and eventually changes it
     manually
     Is for everybody because not require a high photogrammetric
     experience
     Snap uses cloud classification
     Transversal profile view helps operator for a better interpretation
Aerial Stereo Imagery and Lidar
3D Imagery and Lidar are better if combined


Key concepts :

   Stereoscopy is available for all the users at low cost, inside ArcMap, for
   images and point clouds

   The time of proprietary CAD platform for maps data capture is over !

   Combine stereo images and LiDAR point clouds to obtain the best
   accuracy and efficiency

   It’s the ideal tool for QC/QA after automatic feature extraction
   phase

   Can be bundled with raw data (images & point cloud) by data
   providers

   With this (patented) method…
    • medium format cameras can be used
    • low density point clouds can be used
Mobile Laser Scanning and Imagery
                        ArcGDS for MLS
Mobile Laser Scanning
Use video to quickly navigate and 3D stereoscopic vision accurate data
collection


Now…

   The current trend on MLS is to do all the work
   using laser scanner(s) point cloud
   The camera(s) are only for give color to point
   cloud
   Do you think to handle a mobile laser scanning
   road network project with a CAD ?
Mobile Laser Scanning
Use video to quickly navigate and 3D stereoscopic vision accurate data
collection


With the “Point cloud only” approach you need high
  density point cloud…

   More scanners
   Lower speed in mission
   Huge files to manage

Impact on :
  system cost
  mission productivity
  post processing productivity
Mobile Laser Scanning
Use video to quickly navigate and 3D stereoscopic vision accurate data
collection


Our idea…

   Try to use camera image sequences (video) to
   quickly navigate…
   Use the point cloud only for the 3D precise
   measure task
   Use the images to recognize the objects you
   have to collect
   Use 3D glasses to save time
Mobile Laser Scanning
Use 3D glasses to save time, use images and point clouds as they are


The interface :
Mobile Laser Scanning
Use 3D glasses to save time, use images and point clouds as they are

The solution :

   You can open the video
   window and the 3D laser
   window from any point in the
   ArcMap dataframe

   You can use normal ArcMap
   tools pointing in the video
   window or on the 3D laser
   window

   The 3D laser window can be
   viewed stereoscopically
   using 3D glasses

   With 3D glasses you see
   immediately if are picking       More productivity, less mistakes
                                         productivity,
   the right point
Conclusion


  Images don’t replace point clouds and vice-versa
  Use the best of each data type
  Combine them
  GIS is necessary for a good data collection
   • for data consistency
   • for multiuser handling
   • for versioning
   • for integration with other sources (ex. ArcGIS
     Online)
   • etc.
  There are no more advantages on using CAD for
  3D
Thank you !

            Gracias!

            Grazie !

    aldo.facchin@geosoft.it

    For further information,
please visit Geosoft at booth # 6.

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Combining 3D Imagery and Lidar with ArcGIS in Aerial and Mobile Applications

  • 1. Combining 3D Imagery and Lidar with ArcGIS in aerial and mobile applications Aldo Facchin – Geosoft Srl (Italy) www.geosoft.it
  • 2. Geosoft Srl - Italy Who we are ? An italian company focused on software products for … • Map production • 3D photogrammetry • LiDAR • Mobile Imaging & Laser Scanning (from vehicle) Founded in 1992 Main markets (last 3 years) : • 70-85 % Map, Survey and Engineering industry • 15-30 % Public Administration, University and Research
  • 3. Geosoft Srl - Italy Our offer… A family of ArcGIS Desktop stereoscopic extensions for : Aerial photogrammetry and lidar (with a patented method) Terrestrial Laser Scanning Mobile Laser Scanning
  • 4. Aerial Stereo Imagery and Lidar ArcGDS Stereo + LiDAR extension
  • 5. Aerial Stereo Imagery and Lidar 3D Imagery and Lidar are better if combined Geodatabase updating using orthophotos : Well known datatype Large diffusion Poor photointerpretation Difficult to collect XY position Impossible to collect HEIGHT / Z values Your world is flat We need a 3D system
  • 6. Aerial Stereo Imagery and Lidar 3D Imagery and Lidar are better if combined GIS is a “decision support system” Which kind of decisions you can take if your data aren’t enough accurate ? Please take care about accuracy...
  • 7. Aerial Stereo Imagery and Lidar 3D Imagery and Lidar are better if combined If the ortophoto exists, also the overlapped images exist... “Imagery” is the cheapest dataset already ready for 3D 3D Imagery is part of the “photogrammetry” workflows and products LiDAR is the emerging technology naturally “born for 3D “
  • 8. Aerial Stereo Imagery and Lidar 3D Imagery and Lidar are better if combined Photogrammetry (3D imagery) alone is not enough… Optimal photointerpretation (image data is continuous) Use of RGB, CIR images with 8+ bit per channel Already experienced operators, well known procedures and system New digital cameras have bad B/H ratio so Z quality is poor Data quality is not constant (Z in particular) because depends on the operator (stereoscopic perception) Image correlation often have problems exactly where we need (for ex. roof edges)
  • 9. Aerial Stereo Imagery and Lidar 3D Imagery and Lidar are better if combined LiDAR alone is not enough… Optimal precision (especially Z) respect to the photogrammetry at the same flight height Possibility to classify the points cloud Data quality is constant (Z in particular) because does not depend on the operator (snap) Data have low costs and short acquisition times Interpretation is very poor because the data are discrete Point density impacts a lot on cost The points don’t have directly the color of the objects XY precision is poorer than Z
  • 10. Aerial Stereo Imagery and Lidar 3D Imagery and Lidar are better if combined The solution :
  • 11. Aerial Stereo Imagery and Lidar 3D Imagery and Lidar are better if combined The solution : The operator move the cursor observing the imagery stereo scene The software update the cursor height according with the point cloud, using different alghoritms Stereo imagery are used for XY and photointerpretation LiDAR point clouds are used for updating collimation mark height (Z) The point cloud is better than using DSM or other resampled products The operator has only the “check” the collimation mark height (Z), not directly and carefully position it !
  • 12. Aerial Stereo Imagery and Lidar 3D Imagery and Lidar are better if combined We requested to register a patent for the industrial process of producing maps using 3D imagery and lidar... The European Patent Office approved it !!! The patent will be extended in Europe, USA, Canada, Brasil, India, etc.
  • 13. Live demo ArcGDS Stereo + LiDAR extension
  • 14. Aerial Stereo Imagery and Lidar 3D Imagery and Lidar are better if combined Characteristics of ArcGDS LiDAR method (patent pending) It’s a tool for the production of high quality 3D geodatabases. Photointerpretation is available (photos, 3D...not orthophoto) LiDAR acquisition allow much better Z precisions than photo- mapping or orthophoto digitalization Mapping (for ex. streets or buildings) is coherent with LiDAR Operator checks Z during mapping and eventually changes it manually Is for everybody because not require a high photogrammetric experience Snap uses cloud classification Transversal profile view helps operator for a better interpretation
  • 15. Aerial Stereo Imagery and Lidar 3D Imagery and Lidar are better if combined Key concepts : Stereoscopy is available for all the users at low cost, inside ArcMap, for images and point clouds The time of proprietary CAD platform for maps data capture is over ! Combine stereo images and LiDAR point clouds to obtain the best accuracy and efficiency It’s the ideal tool for QC/QA after automatic feature extraction phase Can be bundled with raw data (images & point cloud) by data providers With this (patented) method… • medium format cameras can be used • low density point clouds can be used
  • 16. Mobile Laser Scanning and Imagery ArcGDS for MLS
  • 17. Mobile Laser Scanning Use video to quickly navigate and 3D stereoscopic vision accurate data collection Now… The current trend on MLS is to do all the work using laser scanner(s) point cloud The camera(s) are only for give color to point cloud Do you think to handle a mobile laser scanning road network project with a CAD ?
  • 18. Mobile Laser Scanning Use video to quickly navigate and 3D stereoscopic vision accurate data collection With the “Point cloud only” approach you need high density point cloud… More scanners Lower speed in mission Huge files to manage Impact on : system cost mission productivity post processing productivity
  • 19. Mobile Laser Scanning Use video to quickly navigate and 3D stereoscopic vision accurate data collection Our idea… Try to use camera image sequences (video) to quickly navigate… Use the point cloud only for the 3D precise measure task Use the images to recognize the objects you have to collect Use 3D glasses to save time
  • 20. Mobile Laser Scanning Use 3D glasses to save time, use images and point clouds as they are The interface :
  • 21. Mobile Laser Scanning Use 3D glasses to save time, use images and point clouds as they are The solution : You can open the video window and the 3D laser window from any point in the ArcMap dataframe You can use normal ArcMap tools pointing in the video window or on the 3D laser window The 3D laser window can be viewed stereoscopically using 3D glasses With 3D glasses you see immediately if are picking More productivity, less mistakes productivity, the right point
  • 22. Conclusion Images don’t replace point clouds and vice-versa Use the best of each data type Combine them GIS is necessary for a good data collection • for data consistency • for multiuser handling • for versioning • for integration with other sources (ex. ArcGIS Online) • etc. There are no more advantages on using CAD for 3D
  • 23. Thank you ! Gracias! Grazie ! aldo.facchin@geosoft.it For further information, please visit Geosoft at booth # 6.