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...

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Bibliographic Details
Main Authors: M. Thomas, C. A. Geiger, C. Kambhamettu
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2007
Subjects:
KEY WORDS
RADARSAT
motion estimation
Quadtree decomposition
phase correlation
line integral convolution ABSTRACT
Sea ice
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
Description
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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