Information fusion for estimation of summer MIZ ice concentration from SAR imagery

©1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other wo...

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Main Authors: Haverkamp, Donna S., Tsatsoulis, Costas
Format: Article in Journal/Newspaper
Language:English
Published: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2007
Subjects:
Online Access:http://hdl.handle.net/1808/1279
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record_format openpolar
spelling ftunivkansas:oai:kuscholarworks.ku.edu:1808/1279 2023-05-15T18:18:33+02:00 Information fusion for estimation of summer MIZ ice concentration from SAR imagery Haverkamp, Donna S. Tsatsoulis, Costas 2007-04-06T14:15:24Z http://hdl.handle.net/1808/1279 en_US eng IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC Haverkamp, D; Tsatsoulis, C. Information fusion for estimation of summer MIZ ice concentration from SAR imagery. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. May 1999. 37(3, 1) 1278-1291 Digital Object Identifier 10.1109/36.763288 http://hdl.handle.net/1808/1279 openAccess Article 2007 ftunivkansas 2022-08-26T13:09:01Z ©1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. In this paper we define the concept of information fusion and show how we used it to estimate summer sea ice concentration in the marginal ice zone (MIZ) from single-channel SAR satellite imagery, We used data about melt stage, wind speed, and surface temperature to generate temporally-accumulated information, and fused this information with the SAR image, resulting in an interpretation of summer MIZ imagery, We also used the results of previous classifications of the same area to guide and correct future interpretations, thus fusing historical information with imagery and nonimagery data. We chose to study the summer MIZ since summer melt conditions cause classification based upon backscatter intensity to fail, as the backscatter of open water, thin ice, first-year ice, and multiyear ice overlap to a large degree. This makes it necessary to fuse various information and data to achieve proper segmentation and automated classification of the image. Our results were evaluated qualitatively and showed that our approach produces very good ice concentration estimates in the summer MIZ. Article in Journal/Newspaper Sea ice The University of Kansas: KU ScholarWorks
institution Open Polar
collection The University of Kansas: KU ScholarWorks
op_collection_id ftunivkansas
language English
description ©1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. In this paper we define the concept of information fusion and show how we used it to estimate summer sea ice concentration in the marginal ice zone (MIZ) from single-channel SAR satellite imagery, We used data about melt stage, wind speed, and surface temperature to generate temporally-accumulated information, and fused this information with the SAR image, resulting in an interpretation of summer MIZ imagery, We also used the results of previous classifications of the same area to guide and correct future interpretations, thus fusing historical information with imagery and nonimagery data. We chose to study the summer MIZ since summer melt conditions cause classification based upon backscatter intensity to fail, as the backscatter of open water, thin ice, first-year ice, and multiyear ice overlap to a large degree. This makes it necessary to fuse various information and data to achieve proper segmentation and automated classification of the image. Our results were evaluated qualitatively and showed that our approach produces very good ice concentration estimates in the summer MIZ.
format Article in Journal/Newspaper
author Haverkamp, Donna S.
Tsatsoulis, Costas
spellingShingle Haverkamp, Donna S.
Tsatsoulis, Costas
Information fusion for estimation of summer MIZ ice concentration from SAR imagery
author_facet Haverkamp, Donna S.
Tsatsoulis, Costas
author_sort Haverkamp, Donna S.
title Information fusion for estimation of summer MIZ ice concentration from SAR imagery
title_short Information fusion for estimation of summer MIZ ice concentration from SAR imagery
title_full Information fusion for estimation of summer MIZ ice concentration from SAR imagery
title_fullStr Information fusion for estimation of summer MIZ ice concentration from SAR imagery
title_full_unstemmed Information fusion for estimation of summer MIZ ice concentration from SAR imagery
title_sort information fusion for estimation of summer miz ice concentration from sar imagery
publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
publishDate 2007
url http://hdl.handle.net/1808/1279
genre Sea ice
genre_facet Sea ice
op_relation Haverkamp, D; Tsatsoulis, C. Information fusion for estimation of summer MIZ ice concentration from SAR imagery. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. May 1999. 37(3, 1) 1278-1291
Digital Object Identifier 10.1109/36.763288
http://hdl.handle.net/1808/1279
op_rights openAccess
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