Layer-Finding in Radar Echograms using Probabilistic Graphical Models
Ground-penetrating radar systems are useful for a variety scientific studies, including monitoring changes to the polar ice sheets that may give clues to climate change. A key step in analyzing radar echograms is to identify boundaries between layers of material (such as air, ice, rock, etc.). In th...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.300.7745 2023-05-15T13:38:37+02:00 Layer-Finding in Radar Echograms using Probabilistic Graphical Models David J. Crandall Geoffrey C. Fox John D. Paden The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.7745 http://grids.ucs.indiana.edu/ptliupages/publications/icpr12-ice.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.7745 http://grids.ucs.indiana.edu/ptliupages/publications/icpr12-ice.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://grids.ucs.indiana.edu/ptliupages/publications/icpr12-ice.pdf text ftciteseerx 2016-01-07T22:04:09Z Ground-penetrating radar systems are useful for a variety scientific studies, including monitoring changes to the polar ice sheets that may give clues to climate change. A key step in analyzing radar echograms is to identify boundaries between layers of material (such as air, ice, rock, etc.). In this paper, we propose an automated technique for identifying these boundaries, posing this as an inference problem on a probabilistic graphical model. We show how to learn model parameters from labeled training data and how to perform inference efficiently, as well as how additional sources of evidence, such as feedback from a human operator, can be naturally incorporated. We evaluate the approach on 827 echograms of the Antarctic ice sheets, measuring error with respect to hand-labeled ground truth. 1. Text Antarc* Antarctic Unknown Antarctic The Antarctic |
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ftciteseerx |
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English |
description |
Ground-penetrating radar systems are useful for a variety scientific studies, including monitoring changes to the polar ice sheets that may give clues to climate change. A key step in analyzing radar echograms is to identify boundaries between layers of material (such as air, ice, rock, etc.). In this paper, we propose an automated technique for identifying these boundaries, posing this as an inference problem on a probabilistic graphical model. We show how to learn model parameters from labeled training data and how to perform inference efficiently, as well as how additional sources of evidence, such as feedback from a human operator, can be naturally incorporated. We evaluate the approach on 827 echograms of the Antarctic ice sheets, measuring error with respect to hand-labeled ground truth. 1. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
David J. Crandall Geoffrey C. Fox John D. Paden |
spellingShingle |
David J. Crandall Geoffrey C. Fox John D. Paden Layer-Finding in Radar Echograms using Probabilistic Graphical Models |
author_facet |
David J. Crandall Geoffrey C. Fox John D. Paden |
author_sort |
David J. Crandall |
title |
Layer-Finding in Radar Echograms using Probabilistic Graphical Models |
title_short |
Layer-Finding in Radar Echograms using Probabilistic Graphical Models |
title_full |
Layer-Finding in Radar Echograms using Probabilistic Graphical Models |
title_fullStr |
Layer-Finding in Radar Echograms using Probabilistic Graphical Models |
title_full_unstemmed |
Layer-Finding in Radar Echograms using Probabilistic Graphical Models |
title_sort |
layer-finding in radar echograms using probabilistic graphical models |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.7745 http://grids.ucs.indiana.edu/ptliupages/publications/icpr12-ice.pdf |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
http://grids.ucs.indiana.edu/ptliupages/publications/icpr12-ice.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.7745 http://grids.ucs.indiana.edu/ptliupages/publications/icpr12-ice.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766108857102237696 |