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Ortho-corrected Imagery
The City of Ottawa
Stephen Perkins
stephen.perkins@ottawa.ca
Senior Photogrammetrist
(City Mapper)
Search “ortho photo” in slideshare
What is ortho-corrected?
What products are ortho-corrected?
What is Photogrammetry?
How is imagery prepared?
What corrections are required?
Examples of historic imagery
1928 Imagery
3D Point Cloud Data
http://maps.ottawa.ca/geoOttawa/ or search for ‘geoOttawa’
A georeferenced, ortho-rectified, mosaicked aerial image
Ortho-rectified means scale is uniform across product
based on / LIBRARY AND ARCHIVES CANADA / C.1-22
based on / LIBRARY AND ARCHIVES CANADA / C.1-30
Aerial Imagery from airplane
Aerial Projects are flown in flight lines, row after row
Large format digital cameras are used to capture large areas
Successive images overlap
and can be viewed in ‘3D’
Ortho-images are
created by spatially
locating each image
pixel, draping it on a
surface model
and dropping it to
the datum surface
Ortho-images are
created by spatially
locating each image
pixel, draping it on a
surface model
and dropping it to
the datum surface
Notice that only one
image is required for
the ortho-image, multiple
images are required to
construct the surface
model.
The image draping
process takes each
image and ortho-rectifies
it using the elevation
model and creates
an ortho-corrected
image.
Photoshop can be used to prepare small ortho projects
The seam line can be cleaned up where the overlap occurs
The edge can be ‘feathered’ using cut or Alpha channel
Seamline should be hidden along linear features
Each successive image contains its own ‘sweet spot’
Image across scene needs correction for vignetting
vv
Some errors can stay, others require fixing
Back to geoOttawa, a geo-referenced ortho-corrected mosaic
Before the Queensway
During Queensway construction
Now, back to the 1920’s
N.A.P.L. Roll Nº 1
N.E.O.D.F.
Roll Number A1
Viewing Angle Vertical
Spectral Range Black&White
Area OTTAWA AREA
Roll Date 1928-04-20
Camera Name/Number
Lens Name/Number
Focal length (mm) 304.8
Camera Filter
Film Type
Total Frames 77
Scale 6000
Altitude 6000(ft)
Negative size 7 x 9
Overlap 60
Season Spring
Unfortunately, not a systematic set of flight lines
Large G.S.D. and small colour depth
Image needs to be related to similar features
Many older lines exist, potentially can be scanned
Remember the two-pixel
situation? The single 3D
pixel can be used as an
image point cloud
So, from the past,
a brief glimpse
into the future …
Also, U.A.V.’s (drones) are becoming increasingly used in
aerial acquisition for applications in mapping pits and
quarry’s and archaeological sites.
The City now maps the Landfill using Drones
Ortho photo in Ottawa
Ortho photo in Ottawa

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Ortho photo in Ottawa

Editor's Notes

  1. Ortho-Corrected Imagery
  2. What is ortho-corrected? What products are ortho-corrected? What is Photogrammetry? How is imagery prepared? What corrections are required? Examples of historic imagery 1928 Imagery 3D Point Cloud Data
  3. http://maps.ottawa.ca/geoOttawa/ or search for ‘geoOttawa’
  4. A georeferenced, ortho-rectified, mosaicked aerial image.
  5. Ortho-rectified means scale is uniform across product. But not vertical information.
  6. An ortho-plan showing the original street car tracks in Ottawa.
  7. Some ortho-plans such as survey plans show vertical information as well, but as a orthometric profile view.
  8. Photogrammetry traditionally uses aerial imagery captured from an airplane.
  9. Aerial Projects are flown in flight lines, row after row
  10. Large format digital cameras are used to capture large areas.
  11. Digital images are now rectangular, not square.
  12. Overlapping sequential images show overlapping detail.
  13. Successive images overlap and can be viewed in ‘3D’.
  14. Image one with no overlap at the bottom.
  15. Image two showing the overlap.
  16. Ortho-images are created by spatially locating each image pixel, draping it on a surface model and dropping it to the datum surface. But wait, there are two things wrong with this image, can you see?
  17. The red lines show the true radial lines dropping to the ortho-plane.
  18. Notice that only one image is required for the ortho-image, multiple images are required to construct the surface model. The image draping process takes each image and ortho-rectifies it using the elevation model and creates an ortho-corrected image.
  19. Photoshop can be used to prepare small ortho projects.
  20. The first image is placed in the frame.
  21. The second image is placed overtop the first image.
  22. Note that there is an edge between the two images where the detail doesn’t line up. Image elements above or below the surface model show positional errors.
  23. The edge can be ‘feathered’ using cut or Alpha channel.
  24. Seamline should be hidden along linear features but not through images elements that move between frames such as cars and buses.
  25. Each successive image contains its own ‘sweet spot’.
  26. Image across scene needs correction for vignetting .
  27. Some problems cannot be avoided, such as building lean – unless ‘true ortho’ technique is employed.
  28. Some errors can stay, others require fixing.
  29. Back to geoOttawa, a geo-referenced ortho-corrected mosaic, this is the 2002 aerial imagery from film camera.
  30. Same type of camera, but black and white film, in 1958.
  31. And during Queensway construction in 1965.
  32. Back in history, the first aerial images were taken [possibly] from a Curtiss HS-2L.
  33. National Air Photo Library Roll Number 1 over Parliament Hill.
  34. The National Earth Observation Data Framework Catalogue shows meta data from the first roll of film. Unfortunately, not a calibrated lens or camera.
  35. Unfortunately, not a systematic set of flight lines.
  36. Showing the flight line in a little more detail.
  37. The film shows a large ground sample distance (GSD) of about 30 cm and a very narrow colour depth.
  38. It was hard to reference the older images using new maps so old maps were geo-referenced to provide similar ground information.
  39. Surveyed in 1906.
  40. The Ottawa detail matches the imagery.
  41. Many older lines exist, potentially can be scanned.
  42. So, from the past, a brief glimpse into the future. Remember the two-pixel situation? The single 3D pixel can be used as an image point cloud.
  43. Point cloud 1
  44. Point cloud 2
  45. Point cloud 3
  46. Point cloud 4
  47. Point cloud 5
  48. Point cloud 6
  49. Point cloud 7
  50. Point cloud 8
  51. Point cloud 9
  52. Point cloud 10
  53. Point cloud 11
  54. Point cloud 12
  55. Also, U.A.V.’s (drones) are becoming increasingly used in aerial acquisition for applications in mapping pits and quarry’s and archaeological sites.
  56. The City now maps the Landfill using Drones.
  57. Well, that’s all.
  58. Any questions?