2017
Banesh, Divya; Schoonover, Joseph; Ahrens, James; Hamann, Bernd
Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments Proceedings Article
In: 2017, (Workshop on Visualisation in Environmental Sciences (EnvirVis), LA-UR-17-21623).
Abstract | Links | BibTeX | Tags: contours, moments, visualization
@inproceedings{Authors2017,
title = {Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments},
author = {Divya Banesh and Joseph Schoonover and James Ahrens and Bernd Hamann},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/ExtractingVisualizingandTrackingMesoscaleOceanEddiesinTwo-dimensionalImageSequencesUsingContoursandMoments.pdf},
year = {2017},
date = {2017-03-31},
abstract = {We introduce a system for the extraction and tracking of mesoscale eddies captured in massive global ocean simulations. The major strength and contribution of our system is its design, which is based on two-dimensional image data processing. The Cinema database [CD] makes possible the generation and storage of two-dimensional image data taken in-situ, i.e., the creation of images via a virtual camera generating images during the ongoing simulation. The problem of eddy extraction and tracking is simplified by our approach to the problem of finding, matching and tracking eddies in two-dimensional images, thus eliminating the task of processing the original massive three-dimensional data set. Our system can be used on a simple desktop computer and provides an intuitive interface allowing a scientist to perform an eddy analysis for global ocean data in real-time. We demonstrate the effectiveness of our implementation for a specific simulated data set.},
note = {Workshop on Visualisation in Environmental Sciences (EnvirVis), LA-UR-17-21623},
keywords = {contours, moments, visualization},
pubstate = {published},
tppubtype = {inproceedings}
}
We introduce a system for the extraction and tracking of mesoscale eddies captured in massive global ocean simulations. The major strength and contribution of our system is its design, which is based on two-dimensional image data processing. The Cinema database [CD] makes possible the generation and storage of two-dimensional image data taken in-situ, i.e., the creation of images via a virtual camera generating images during the ongoing simulation. The problem of eddy extraction and tracking is simplified by our approach to the problem of finding, matching and tracking eddies in two-dimensional images, thus eliminating the task of processing the original massive three-dimensional data set. Our system can be used on a simple desktop computer and provides an intuitive interface allowing a scientist to perform an eddy analysis for global ocean data in real-time. We demonstrate the effectiveness of our implementation for a specific simulated data set.
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1.
Banesh, Divya; Schoonover, Joseph; Ahrens, James; Hamann, Bernd
Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments Proceedings Article
In: 2017, (Workshop on Visualisation in Environmental Sciences (EnvirVis), LA-UR-17-21623).
@inproceedings{Authors2017,
title = {Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments},
author = {Divya Banesh and Joseph Schoonover and James Ahrens and Bernd Hamann},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/ExtractingVisualizingandTrackingMesoscaleOceanEddiesinTwo-dimensionalImageSequencesUsingContoursandMoments.pdf},
year = {2017},
date = {2017-03-31},
abstract = {We introduce a system for the extraction and tracking of mesoscale eddies captured in massive global ocean simulations. The major strength and contribution of our system is its design, which is based on two-dimensional image data processing. The Cinema database [CD] makes possible the generation and storage of two-dimensional image data taken in-situ, i.e., the creation of images via a virtual camera generating images during the ongoing simulation. The problem of eddy extraction and tracking is simplified by our approach to the problem of finding, matching and tracking eddies in two-dimensional images, thus eliminating the task of processing the original massive three-dimensional data set. Our system can be used on a simple desktop computer and provides an intuitive interface allowing a scientist to perform an eddy analysis for global ocean data in real-time. We demonstrate the effectiveness of our implementation for a specific simulated data set.},
note = {Workshop on Visualisation in Environmental Sciences (EnvirVis), LA-UR-17-21623},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We introduce a system for the extraction and tracking of mesoscale eddies captured in massive global ocean simulations. The major strength and contribution of our system is its design, which is based on two-dimensional image data processing. The Cinema database [CD] makes possible the generation and storage of two-dimensional image data taken in-situ, i.e., the creation of images via a virtual camera generating images during the ongoing simulation. The problem of eddy extraction and tracking is simplified by our approach to the problem of finding, matching and tracking eddies in two-dimensional images, thus eliminating the task of processing the original massive three-dimensional data set. Our system can be used on a simple desktop computer and provides an intuitive interface allowing a scientist to perform an eddy analysis for global ocean data in real-time. We demonstrate the effectiveness of our implementation for a specific simulated data set.