ASCII
The training trajectory datasets are collected from real users when exploring the volume dataset on our interactive 3D visualization framework. The format of the training dataset collected is trajectories of POVs in the Cartesian space. Multiple volume datasets with distinct spatial features and transfer functions are used to collect comprehensive training datasets of trajectories. The initial point is randomly selected for each user. Collected training trajectories are cleaned by removing POV outliers due to users' misoperations to improve uniformity.
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Data related to figures 3 and 7 in T. Fordell, K. Hanhijärvi, A.E. Wallin, J. Myyry, T. Lindvall ”Out-of-Band Fibre-Optic Time and Frequency Transfer Using Asymmetric and Symmetric Opto-Electronic Repeaters”, IEEE
IEEE Trans. Ultrason. Ferroelectr. Freq. Control (2023).
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To measure sea ice elevation abover the local sea surface, a theory of polarimetric interferometry for both monostatic and bistatic radars is developed based on analytic solutions of Maxwell's equations, accounting for realistic and complicated properties of snow, sea ice, and seawater.
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