1 from imagery to map: digital photogrammetric technologies 14 th international scientific and...

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1 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric Technologies Dense DSM Generation Module in PHOTOMOD 6.0 Andrey Sechin Scientific Director, Racurs October 2014, Hainan, China

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Page 1: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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14th International Scientific and Technical Conference

From Imagery to Map: Digital Photogrammetric Technologies

Dense DSM Generation Module in PHOTOMOD 6.0

Andrey SechinScientific Director, Racurs

October 2014, Hainan, China

Page 2: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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DEM, DTM, DSM, nDSM

DEM, DTM have different definitions in different countries.In Russian (по-русски) ЦМР, ЦМП

DEM & DTM - bare earth terrain. DSM include tree canopy & buildings.nDSM = DSM - DTM

Page 3: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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PHOTOMOD. Different models (depending on algorithm)

Automatic DSM (old cross-correlation algorithm) with filtering buildings and trees

Automatic DSM (old cross-correlation algorithm)

3D semi-automatic model (with manual stereo vectorization)

Different models for Novokuznetsk city GeoEye-1 stereopair (GSD 0.5m)

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Local algorithms of DTM creation

Memory efficient Fast Subpixel accuracy in

“smooth” regions Problems with periodic

structures and poorly textured regions

Big problem with discontinuities on images

Page 5: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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Global algorithms of DSM creation

Global energy minimization Take into account discontinuities and

hidden surfaces Not memory efficient Still require filtering and smoothing in

the end of algorithm

E = E(data) + E(smooth)

Semi Global Matching (SGM) Graph-cuts Simple Tree Iterative- deformation method

(RACURS)

Page 6: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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Local vs Global method

SGM andIterative deformation methods

CrossCorrelation

Page 7: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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PHOTOMOD: iterative deformation method (IDM)

All images are taken into account simultaneously

Memory efficient

Image pyramid hierarchy is used for speed and reliability

Image resection is used to calculate occlusions

Still requires filtering and smoothing on the final step

Page 8: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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height approximation levels

1-st image 2-nd image

DSM

orthophoto

Point with unknown height

PHOTOMOD: iterative deformation method (IDM)

Page 9: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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IDM vs SGM

We used SURE (Institute for Photogrammetry (IfP), University of Stuttgart) as SGM example

SGM is faster (20-30%) on the local computer

IDM is faster in the network environment (parallel computing based on images + dsm levels and area splitting)

IDM does not need epipolar geometry

IDM uses all images simultaneously

IDM uses different strategies based on the DSM guess

IDM uses elements of pattern recognition for different height approximations

Page 10: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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PHOTOMOD 6.0 - User interface

Page 11: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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IDM: GeoEye example

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IDM: GeoEye example

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IDM: WorldView 1 example

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IDM: WorldView 1 example

Page 15: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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IDM: UltraCam example

Page 16: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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IDM: UltraCam example

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IDM: UltraCam example

Page 18: 1 From Imagery to Map: Digital Photogrammetric Technologies 14 th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric

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IDM: DMC example (Munich block)

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IDM: DMC example

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Thank you