A Comprehensive, Automated Approach to Determining Sea Ice Thickness from SAR Data

Abstract-This paper documents an approach to sea ice clas-sification through a combination of methods, both algorithmic and heuristic. The resulting system is a comprehensive technique, which uses dynamic local thresholding as a classification basis and then supplements that initial classification u...

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Main Authors: Donna Haverkamp, Leen-kiat Soh, Costas Tsatsoulis, Student Member, Leen Kiat Soh
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 1995
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.456.123
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.456.123 2023-05-15T18:17:23+02:00 A Comprehensive, Automated Approach to Determining Sea Ice Thickness from SAR Data Donna Haverkamp Leen-kiat Soh Costas Tsatsoulis Student Member Leen Kiat Soh The Pennsylvania State University CiteSeerX Archives 1995 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.456.123 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.456.123 Metadata may be used without restrictions as long as the oai identifier remains attached to it. text 1995 ftciteseerx 2016-01-08T06:12:03Z Abstract-This paper documents an approach to sea ice clas-sification through a combination of methods, both algorithmic and heuristic. The resulting system is a comprehensive technique, which uses dynamic local thresholding as a classification basis and then supplements that initial classification using heuristic geophysical knowledge organized in expert systems. The dynamic local thresholding method allows separation of the ice into thick-ness classes based on local intensity distributions. Because it utilizes the data within each image, it can adapt to varying ice thickness intensities to regional and seasonal charges and is not subject to limitations caused by using predefined parameters. I. Text Sea ice Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
description Abstract-This paper documents an approach to sea ice clas-sification through a combination of methods, both algorithmic and heuristic. The resulting system is a comprehensive technique, which uses dynamic local thresholding as a classification basis and then supplements that initial classification using heuristic geophysical knowledge organized in expert systems. The dynamic local thresholding method allows separation of the ice into thick-ness classes based on local intensity distributions. Because it utilizes the data within each image, it can adapt to varying ice thickness intensities to regional and seasonal charges and is not subject to limitations caused by using predefined parameters. I.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Donna Haverkamp
Leen-kiat Soh
Costas Tsatsoulis
Student Member
Leen Kiat Soh
spellingShingle Donna Haverkamp
Leen-kiat Soh
Costas Tsatsoulis
Student Member
Leen Kiat Soh
A Comprehensive, Automated Approach to Determining Sea Ice Thickness from SAR Data
author_facet Donna Haverkamp
Leen-kiat Soh
Costas Tsatsoulis
Student Member
Leen Kiat Soh
author_sort Donna Haverkamp
title A Comprehensive, Automated Approach to Determining Sea Ice Thickness from SAR Data
title_short A Comprehensive, Automated Approach to Determining Sea Ice Thickness from SAR Data
title_full A Comprehensive, Automated Approach to Determining Sea Ice Thickness from SAR Data
title_fullStr A Comprehensive, Automated Approach to Determining Sea Ice Thickness from SAR Data
title_full_unstemmed A Comprehensive, Automated Approach to Determining Sea Ice Thickness from SAR Data
title_sort comprehensive, automated approach to determining sea ice thickness from sar data
publishDate 1995
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.456.123
genre Sea ice
genre_facet Sea ice
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.456.123
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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