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Innovation in Photogrammetry Map World 2009. Alexander Wiechert Vexcel Imaging GmbH | a Microsoft company Managing Director alwieche@microsoft.com. Venugopal Parasuraman Head-Imaging Solutions Division Sierra Atlantic Software Services Ltd., E - Venugopal.Parasuraman@SierraAtlantic.com.
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Innovation in PhotogrammetryMap World 2009 Alexander Wiechert Vexcel Imaging GmbH | a Microsoft company Managing Director alwieche@microsoft.com Venugopal ParasuramanHead-Imaging Solutions Division Sierra Atlantic Software Services Ltd.,E - Venugopal.Parasuraman@SierraAtlantic.com
Multi-Ray Photogrammetry • High overlap images(multi ray photogrammetry) • Multi-spectral images • High dynamic range >12 bits • Geometric accurate images • Paralaxe free images • Only UltraCamXp and UltraCamL meet these requirements
UltraCamXp • Largest image format • 17,310 by 11,310 pixel • 196 Mpixel PAN image • In-flight exchangeable on board data storage • 6600 images per storage unit • High performance lens system • Pan-sharpen ratio 1:3 • 12.9 bits dynamic range • Syntopic exposure
UltraCamL • Large photogrammetric medium format camera • Smaller, leighter, lower price compared to UCXp • Geometric and radiometric quality as of UCXp • Designed for smaller mapping companies to go digital • Serves also the strong requirements of Virtual Earth concerning geometric and radiometric accuracy and operational envelop
UltraCamL • Image format • 11,310 by 7,920 pixel PAN • 5,412 by 3,790 pixel RGB and NIR • FMC by TDI for PAN, RGB and NIR • Exchangeable Solid State Storage • 2500 images per device • Fully integrated into the sensor head • High performance lens system • Pan-sharpen ratio 1:2 • Syntopic exposure
UltraCamL NIR PAN RGB
Multi Ray Photogrammetry • 90/60 flight pattern: up to 15 rays per ground pixel • Effective occlusion avoidance • Robust and highlyautomated
DSM by Multi-Ray Photogrammetry • Source • Set of high resolution images • 90/60 overlap • Up to 15 rays per point
DSM by Multi-Ray Photogrammetry • Process • Automated matching (dense matching) • Extremely robust due to high redundancy • Result • High res. DSM • >50 „points/sqm“ • < 5cm accuracy
Automated Building Extraction • Image classification in combination with dense surface model IDs building (complex) to be extracted
Automated Building Reconstruction • Extrude/intersect roof polygons to each other • Extrude completed roof geometry to the DTM • Phototexture from UltraCam images
Automated Building Extraction Combined with DEM and Ortho in Virtual Earth
Lidar vs. Photogrammetry • Lidar • „Direct“ 3D measurement • 3D point cloud • Multiple echoes • DTM by last echo and filtering • Multi-Ray Photogrammetry • Overlapping images • DSM automatically by aerotriangulation and matching • Multi-Rays • DTM by ground pixel and filtering
Lidar vs. Photogrammetry • Lidar Point Density • 1 / 5 / <20 p/sqm • „Point Density“ Multi-Ray Photogrammetry • 25 cm GSD -> 16 p/sqm • 10 cm GSD -> 100 p/sqm • 5 cm GSD -> 400 p/sqm
Lidar vs. Photogrammetry • Lidar Point Density • 1 / 5 / <20 p/sqm • „Point Density“ Multi-Ray Photogrammetry • Approx. 50% pixels match automatically • 25 cm GSD -> 8 p/sqm • 10 cm GSD -> 50 p/sqm • 5 cm GSD -> 200 p/sqm
Lidar vs. Photogrammetry • Image • 10cm GSD • Point density:> 50 points/sqm • Lidar • 6 point/sqm
Lidar vs. Photogrammetry • Lidar: • 8 points/sqm • 30 deg. FOV • Height: 750 m • Speed: 60 m/s • Eff. pulse rate: 193 kHz • Scan rate: 170 scans/s • Strip width: 403m • 20% overlap • Effective strip width:322 meter • UCXp Multi-Ray Photogrammetry • 25 cm GSD • Height: 4,188 m • Speed: < 141 m/s • Strip width: 4,328 meter • 60% overlap • Effective strip width:1,731 meter
Lidar vs. Photogrammetry • Lidar: • 8 points/sqm • 30 deg. FOV • Height: 750 m • Speed: 60 m/s • Eff. pulse rate: 193 kHz • Scan rate: 170 scans/s • Strip width: 403m • 20% overlap • Effective strip: 322 meter • UCLp Multi-Ray Photogrammetry • 25 cm GSD • Height: 2,917 m • Speed: < 99 m/s • Strip width: 2,926 meter • 60% overlap • Effective strip: 1,170 meter
Multi-Ray Photogrammetry • Allows automated DSM generation • Point density is significantly higher • Cameras have superior collection efficiency • Also applicable for street side images • Consistent and automated workflow for aerial and streetside
Conclusion • Multi-Ray allows robust dense matching • Multi-Ray enables automated „point-cloud“ generation • Multi-Ray is applicable to aerial and streetside images
Conclusion • Multi-Ray extends the capability of photogrammetry • Already existing photogrammetric workflow can be used • The camera supports images and - in addition - most 3D data needs with higher collection efficiency • Relaunch of photogrammetry - digital multi-ray photogrammetry
Thank You Very Much On Behalf Of Alexander Wiechert Vexcel Imaging GmbH | a Microsoft company Managing Director alwieche@microsoft.com Venugopal. Parasuraman@SierraAtlantic.com