High resolution motion estimation of sea ice using an implicit quad-tree approach
In this paper we estimate the motion between time-lagged Synthetic Aperture Radar (SAR) image pairs via an implicit quad-tree scheme. The algorithm provides a means to estimate motion at a spatial resolution that is an order of magnitude greater than the currently available data products. Since the...
Main Authors: | , , |
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Other Authors: | |
Format: | Text |
Language: | English |
Published: |
2007
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Subjects: | |
Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.125.6948 http://vims.cis.udel.edu/~mani/publications/ISPRSpaper_Thomas.pdf |
Summary: | In this paper we estimate the motion between time-lagged Synthetic Aperture Radar (SAR) image pairs via an implicit quad-tree scheme. The algorithm provides a means to estimate motion at a spatial resolution that is an order of magnitude greater than the currently available data products. Since the motion is extracted from the image data iteratively, the estimated field provides an accurate picture of the underlying discontinuous motion. Experimental tests indicate that the algorithm is also computationally efficient. This is extremely valuable when attempting to localize leads and ridges that are created in sea ice. 1 |
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