A Set of New Sea Ice Feature Descriptors for SAR Images

Abstract—In this paper, we present a set of algorithms for describing sea ice features in SAR images. These algorithms we have implemented and incorporated in the ARKTOS software package, an intelligent sea ice classification. These algorithms have unique characteristics. Some are extensions or adap...

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Main Author: Leen-kiat Soh
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.5849
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.360.5849 2023-05-15T18:16:13+02:00 A Set of New Sea Ice Feature Descriptors for SAR Images Leen-kiat Soh The Pennsylvania State University CiteSeerX Archives http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.5849 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.5849 Metadata may be used without restrictions as long as the oai identifier remains attached to it. text ftciteseerx 2016-01-08T00:48:58Z Abstract—In this paper, we present a set of algorithms for describing sea ice features in SAR images. These algorithms we have implemented and incorporated in the ARKTOS software package, an intelligent sea ice classification. These algorithms have unique characteristics. Some are extensions or adaptations of existing image processing techniques to the specific problem domain of satellite sea ice classification, while some are innovative designs, inspired by the aforementioned problem domain. These feature descriptors may be generalized to other remote sensing applications. I Text Sea ice Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
description Abstract—In this paper, we present a set of algorithms for describing sea ice features in SAR images. These algorithms we have implemented and incorporated in the ARKTOS software package, an intelligent sea ice classification. These algorithms have unique characteristics. Some are extensions or adaptations of existing image processing techniques to the specific problem domain of satellite sea ice classification, while some are innovative designs, inspired by the aforementioned problem domain. These feature descriptors may be generalized to other remote sensing applications. I
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Leen-kiat Soh
spellingShingle Leen-kiat Soh
A Set of New Sea Ice Feature Descriptors for SAR Images
author_facet Leen-kiat Soh
author_sort Leen-kiat Soh
title A Set of New Sea Ice Feature Descriptors for SAR Images
title_short A Set of New Sea Ice Feature Descriptors for SAR Images
title_full A Set of New Sea Ice Feature Descriptors for SAR Images
title_fullStr A Set of New Sea Ice Feature Descriptors for SAR Images
title_full_unstemmed A Set of New Sea Ice Feature Descriptors for SAR Images
title_sort set of new sea ice feature descriptors for sar images
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.5849
genre Sea ice
genre_facet Sea ice
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.5849
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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