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Identification of Tree Locations in Geographic Images

Identification of Tree Locations in Geographic Images. By David T. Brown Roger V. Hoang Matthew R. Sgambati Frederick C. Harris, Jr. Overview. VFire CAVE Application Where it fits in VFire Design Abilities Results. Acknowledgements.

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Identification of Tree Locations in Geographic Images

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  1. Identification of Tree Locations in Geographic Images By David T. Brown Roger V. Hoang Matthew R. Sgambati Frederick C. Harris, Jr.

  2. Overview • VFire • CAVE • Application • Where it fits in VFire • Design • Abilities • Results

  3. Acknowledgements • STTC CAVE Project (ARO# N61339-04-C-0072) at the Desert Research Institute

  4. VFire • Wild-land fire simulator • Purpose • Study the behavior of wild-land fires • Train fire crews • CAVE (Cave Automatic Virtual Environment)

  5. CAVE

  6. CAVE: Head Tracking

  7. CAVE: Input Device

  8. VFire

  9. VFire

  10. VFire

  11. Design • Functional/Nonfunctional Requirements • Use Case Diagram • System Structure • Classes

  12. Design: Use Case

  13. Design: System Structure

  14. Design: Classes

  15. Capabilities • Use photo images to detect trees • Use one or more templates to identify trees • Use Vegetation map to help identify trees • Use Vegetation map alone to randomly place trees • Overlay Photo image with Vegetation map

  16. GUI

  17. GUI

  18. Results

  19. Results

  20. Results

  21. Results

  22. Results

  23. Results

  24. Results

  25. Results

  26. Results

  27. Results

  28. Results

  29. Results

  30. Conclusion • VFire • CAVE • Application • Where it fits in VFire • Design • Abilities • Results

  31. Future Work • Ability to delete large numbers of trees • Ability to change the highlighting colors • Ability to change tuning parameters for the same template in different regions • Ability to detect artificial structures • Speed up the application • Try to obtain images with less shadows

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