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...
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Text |
Language: | English |
Published: |
1995
|
Subjects: | |
Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.456.123 |
id |
ftciteseerx:oai:CiteSeerX.psu:10.1.1.456.123 |
---|---|
record_format |
openpolar |
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. |
_version_ |
1766191588623515648 |