validation of a high-resolution (400m) sar motion tracking system near the aplis’07 ice camp m....
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Validation of a high-resolution (400m) SAR motion tracking system near the APLIS’07 Ice Camp
M. Thomas, C. A. Geiger and C. Kambhamettu
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Roadmap We successfully implemented a “near real time” sea ice
motion tracking system
Measure motion dynamics at ~400m resolution
Logistical aid to deploy 12 GPS (strain-rate) buoys, 1 ice mass balance buoy and 5 stress buoys.
High regions of activity in the 200km x 200km region
Used to setup the data collection location for AUVs and human divers
http://vims.cis.udel.edu/~mani/SEDNA - The “Map of Moving Topography” (MMT)
This talk discusses the initial validation of the system against GPS and ARGOS.
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VIMS 12
VIMS 11
National Ice Center
GPS Buoys
Field Scientists
Analysis @ UD vims.cis.udel.edu
X
©CSA1998
Alaska Satellite Facility
System Overview
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GIS Data Layering Scheme
Data visualization done in Matlab
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Instrument measurements (Buoy 74357)
Buoy data from Jenny Hutchings’ SEDNA buoy array
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Validation against GPSNorth-South displacementEast-West displacement
Error in North-South displacementError in East-West displacement
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Validation against raw ARGOSEast-West displacement North-South displacement
Error in East-West displacementError in North-South displacement
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Validation against filtered ARGOSEast-West displacement North-South displacement
Error in East-West displacementError in North-South displacement
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One-way repeated measure ANOVA Dependent variable: Sea ice motion
Independent variables: Motion Estimation, GPS, ARGOS, Filtered ARGOS
Cross validations at the 12 GPS Buoy locations
Results indicate no significant difference between our algorithm with GPS, ARGOS and filtered ARGOS.
Scatter plot shows the high correlation between our estimated algorithm and GPS measurements
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Significance tests
Location F dF p F dF p1 0.203 1.802 0.795 1.615 1.636 0.2132 0.110 1.238 0.795 0.444 1.789 0.6223 0.866 1.634 0.408 0.939 1.167 0.3554 0.559 1.558 0.534 0.132 1.221 0.7695 0.518 1.411 0.538 0.318 1.689 0.6936 0.114 1.691 0.861 1.590 1.278 0.2207 1.316 2.260 0.277 0.277 1.895 0.7478 0.654 2.290 0.544 0.387 1.270 0.5889 0.348 1.989 0.706 1.550 1.522 0.226
10 2.762 1.608 0.085 0.300 1.224 0.63411 0.287 1.137 0.626 0.078 1.336 0.85012 0.625 1.497 0.496 0.272 1.943 0.757
Horizontal displacement Vertical displacement
F: statistic dF: degrees of Freedom P: – significance level (0.050)
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Sample East-West Directions
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Sample North-South Directions
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Conclusions Motion tracking algorithm is within the
accuracy of the GPS data (mean vector difference 0.06 cm/s)
Specifically, ANOVA technique cross validates the accuracy of the repeated measurements at the 12 locations.
Estimation Resolution: Motion can be estimated at ~400 meters resolution,
an order of magnitude higher than typically available techniques.
Computational Requirements: Images pairs of 200km x 200km (4096 x 4096 pixels) can
be processed in under 20 minutes on a 2.93 GHz Core 2 Duo Processor PC.
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Future directions Developing mechanisms to handle
discontinuities from within the motion estimation framework.
Development of a open source code initiative that could be used by researchers for sea ice monitoring.
Web based framework for remote analysis of imagery for researchers.
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Acknowledgements We would like to thank our sponsor
without whom this would not have been achieved NSF Arctic Natural Science within the Office
of Polar Programs (ARC-0612105 (UD), ARC-0612527 (UAF), and ARC-0611991 (CRREL)).
We would also like to thank the Canadian Space Agency (CSA), who provided the RADARSAT-1 imagery through ASF.
Thank You!!!