Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Fourier Vision: Segmentation and Velocity Measurement Using the Fourier Transform
Fourier Vision: Segmentation and Velocity Measurement Using the Fourier Transform
Vector field characterization in ERS-1 imagery of sea ice
WACV '07 Proceedings of the Eighth IEEE Workshop on Applications of Computer Vision
Near-real time motion analysis for APLIS 2007: a systems modeling perspective
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Analysis of large magnitude discontinuous non-rigid motion
Analysis of large magnitude discontinuous non-rigid motion
Region filling and object removal by exemplar-based image inpainting
IEEE Transactions on Image Processing
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In this work, we attempt to extend the body of knowledge on sea ice motion tracking in two specific directions. The first direction is the development of a computationally efficient, high resolution motion tracking system with a resolution of 400m, which is an order of magnitude greater than the currently available standard data products (3--5km). Validation of this method using GPS measurements shows an average error that is less than 0.06cm/s. The second direction is the development of objective analysis technique to handle motion at close proximity to discontinuities. The goal of this second direction is to identify and track discontinuous features such as cracks, leads, ridges and other material damage zones. These developments allow motion to be estimated at a high resolution in a robust manner (validated against various noise models). With the observed changes in global climate, sparked by variations in the sea ice thickness and extent, our long term goal is to use this system to merge the "temporally rich" GPS measurements with the "spatially rich" measurements from satellite images.