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Cartographic quality contouring in PHOTOMOD 5.0

X th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric Technologies. Cartographic quality contouring in PHOTOMOD 5.0. A. Sechin Scientific Director. September 20 10 , Gaeta , Italy. PHOTOMOD 5.0 today. Main changes for the last year.

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Cartographic quality contouring in PHOTOMOD 5.0

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  1. Xth International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric Technologies Cartographic quality contouring in PHOTOMOD 5.0 A. Sechin Scientific Director September 2010, Gaeta, Italy

  2. PHOTOMOD 5.0 today. Main changes for the last year • automatic DTM creation algorithm improvements • new powerful DTM filters (“removing” buildings and vegetation) • speeding up automatic AT process (about 2 times) • high-quality smooth contour lines • more distributed processing (adding images, orthomosaicking,DTM, AAT) • VisionMap A3 sensor support • asynchronous sensors comfortable stereoprocessing(WorldView) • UltraCam metadata (interior and exterior orientation parameters) support • ADS 40 source data automatic pre-processing • self-calibration procedure improvements • more start approaches for bundle adjustment • precise block layouts by using DTM • speeding up raster visualization • saving block layouts to georeferenced rasters • RapidEye sensor support • satellite images in NITF + RPC formatsupport • EXIF metadata support for non-professional cameras • and more…

  3. The task We have: 1) A set of 3D-points, 2) A set of 3D-breaklines. 3) Region boundary.

  4. The task We have: 1) A set of 3D-points. 2) A set of 3D-breaklines. 3) Region boundary. We need: 1) A smooth surface. 2) Contour lines with a given interval. We know: 1) Accuracy of 3D-points. 2) Required accuracy of contour lines (~1/3 of an interval).

  5. Known methods of surface interpolation and approximation The picture is from a paper by Gabriela Droj «IMPROVING THE ACCURACY OF DIGITAL TERRAIN MODELS» Informatica, 2008. PHOTOMOD 4.X Delaunay Triangulation + Contour smoothing or Building DEM + Smoothing DEM + Contour smoothing

  6. Delaunay triangulation disadvantages «Non cartographic quality» Manual smoothing parameters settings Contours can cross

  7. Thin plate theory (1) (2) + boundary conditions (3)

  8. Thin plate theory • 1. Multi-grid iterativemethod • 2. Polyline contours using grid surface • 3. Smoothing and thinning of contours with the given accuracy (polylines or Bezier curves) CPU time~ 20 minutes for 3 millions of input points

  9. Example 1 “plain” (TIN – no Smoothing)

  10. Example 1 “plain” (TIN + Contour Smoothing)

  11. Example 1 “plain” (New Algorithm)

  12. Example 2 “hilly” (TIN – no Smoothing)

  13. Example 2 “hilly” (TIN + Contour Smoothing)

  14. Example 2 “hilly” (New Algorithm)

  15. Example 3 “mountains” (TIN – no Smoothing)

  16. Example 3 “mountains” (TIN + Contour Smoothing)

  17. Example 3 “mountains” (New Algorithm)

  18. Dense DTM + contours Major and minor contours inPHOTOMOD 5.1

  19. Soap film PHOTOMOD 5.1 A similar approach is used in another task: We have a set of contour lines (from map digitizing). We need a DEM. In this case we use Soap Film equations (elliptical equations of the 2nd order)

  20. Thank you for attention !

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