Iceberg size and orientation estimation using SeaWinds
From 1999 to 2009, the SeaWinds scatterometer has been used to detect and track large Antarctic icebergs on a daily basis. Here, we develop an automated estimation algorithm to supplement iceberg position reports with estimates of the iceberg’s major axis length, minor axis length, and angle of orie...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.391.9179 2023-05-15T13:48:49+02:00 Iceberg size and orientation estimation using SeaWinds Keith M. Stuart David G. Long The Pennsylvania State University CiteSeerX Archives 2011 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.9179 http://www.mers.byu.edu/long/papers/conf/IGARSS2010Stuart.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.9179 http://www.mers.byu.edu/long/papers/conf/IGARSS2010Stuart.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.mers.byu.edu/long/papers/conf/IGARSS2010Stuart.pdf text 2011 ftciteseerx 2016-01-08T02:17:49Z From 1999 to 2009, the SeaWinds scatterometer has been used to detect and track large Antarctic icebergs on a daily basis. Here, we develop an automated estimation algorithm to supplement iceberg position reports with estimates of the iceberg’s major axis length, minor axis length, and angle of orientation. A maximum-likelihood objective function that relates measured backscatter to model-based simulated backscatter is developed. The utility of the estimation approach is analyzed in simulation and via a case study of iceberg A22a. Subsequent results agree with and supplement reports compiled by the United States National Ice Center. Index Terms — Ice, radar scattering, estimation Text Antarc* Antarctic Iceberg* Unknown Antarctic |
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ftciteseerx |
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English |
description |
From 1999 to 2009, the SeaWinds scatterometer has been used to detect and track large Antarctic icebergs on a daily basis. Here, we develop an automated estimation algorithm to supplement iceberg position reports with estimates of the iceberg’s major axis length, minor axis length, and angle of orientation. A maximum-likelihood objective function that relates measured backscatter to model-based simulated backscatter is developed. The utility of the estimation approach is analyzed in simulation and via a case study of iceberg A22a. Subsequent results agree with and supplement reports compiled by the United States National Ice Center. Index Terms — Ice, radar scattering, estimation |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Keith M. Stuart David G. Long |
spellingShingle |
Keith M. Stuart David G. Long Iceberg size and orientation estimation using SeaWinds |
author_facet |
Keith M. Stuart David G. Long |
author_sort |
Keith M. Stuart |
title |
Iceberg size and orientation estimation using SeaWinds |
title_short |
Iceberg size and orientation estimation using SeaWinds |
title_full |
Iceberg size and orientation estimation using SeaWinds |
title_fullStr |
Iceberg size and orientation estimation using SeaWinds |
title_full_unstemmed |
Iceberg size and orientation estimation using SeaWinds |
title_sort |
iceberg size and orientation estimation using seawinds |
publishDate |
2011 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.9179 http://www.mers.byu.edu/long/papers/conf/IGARSS2010Stuart.pdf |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Iceberg* |
genre_facet |
Antarc* Antarctic Iceberg* |
op_source |
http://www.mers.byu.edu/long/papers/conf/IGARSS2010Stuart.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.9179 http://www.mers.byu.edu/long/papers/conf/IGARSS2010Stuart.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766249818192084992 |