Superpixel Based Sea Ice Segmentation with High-Resolution Optical Images:Analysis and Evaluation
By grouping pixels with visual coherence, superpixel algorithms provide an alternative representation of regular pixel grid for precise and efficient image segmentation. In this paper, a multi-stage model is used for sea ice segmentation from the high-resolution optical imagery, including the pre-pr...
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Online Access: | https://discovery.dundee.ac.uk/en/publications/3d4cc8a8-b53d-4c9f-83ec-e9967fa7e1d7 https://doi.org/10.1007/978-981-19-0390-8_126 http://www.scopus.com/inward/record.url?scp=85128785136&partnerID=8YFLogxK |
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ftunivdundeepure:oai:discovery.dundee.ac.uk:publications/3d4cc8a8-b53d-4c9f-83ec-e9967fa7e1d7 2024-09-15T18:01:59+00:00 Superpixel Based Sea Ice Segmentation with High-Resolution Optical Images:Analysis and Evaluation Chen, Siyuan Yan, Yijun Ren, Jinchang Hwang, Byongjun Marshall, Stephen Durrani, Tariq Liang, Qilian Wang, Wei Liu, Xin Na, Zhenyu Zhang, Baoju 2022 https://discovery.dundee.ac.uk/en/publications/3d4cc8a8-b53d-4c9f-83ec-e9967fa7e1d7 https://doi.org/10.1007/978-981-19-0390-8_126 http://www.scopus.com/inward/record.url?scp=85128785136&partnerID=8YFLogxK eng eng Springer https://discovery.dundee.ac.uk/en/publications/3d4cc8a8-b53d-4c9f-83ec-e9967fa7e1d7 urn:ISBN:9789811903892 (hbk) urn:ISBN:9789811903922 (pbk) info:eu-repo/semantics/closedAccess Chen , S , Yan , Y , Ren , J , Hwang , B , Marshall , S & Durrani , T 2022 , Superpixel Based Sea Ice Segmentation with High-Resolution Optical Images : Analysis and Evaluation . in Q Liang , W Wang , X Liu , Z Na & B Zhang (eds) , Communications, Signal Processing, and Systems : Proceedings of the 10th International Conference on Communications, Signal Processing, and Systems . 1 edn , Lecture Notes in Electrical Engineering , vol. 878 , Springer , Singapore , pp. 1004-1012 , 10th International Conference on Communications, Signal Processing, and Systems, CSPS 2021 , Changbaishan , China , 24/07/21 . https://doi.org/10.1007/978-981-19-0390-8_126 Satellite remote sensing Sea ice segmentation Superpixel /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering contributionToPeriodical 2022 ftunivdundeepure https://doi.org/10.1007/978-981-19-0390-8_126 2024-07-09T14:14:10Z By grouping pixels with visual coherence, superpixel algorithms provide an alternative representation of regular pixel grid for precise and efficient image segmentation. In this paper, a multi-stage model is used for sea ice segmentation from the high-resolution optical imagery, including the pre-processing to enhance the image contrast and suppress the noise, superpixel generation and classification, and post-processing to refine the segmented results. Four superpixel algorithms are evaluated within the framework, where the high-resolution imagery of the Chukchi sea is used for validation. Quantitative evaluation in terms of the segmentation quality and floe size distribution, and visual comparison for several selected regions of interest are presented. Overall, the model with TS-SLIC yields the best results, with a segmentation accuracy of 98.19% on average and adhering to the ice edges well. Article in Journal/Newspaper Chukchi Chukchi Sea Sea ice Discovery - University of Dundee Online Publications 1004 1012 |
institution |
Open Polar |
collection |
Discovery - University of Dundee Online Publications |
op_collection_id |
ftunivdundeepure |
language |
English |
topic |
Satellite remote sensing Sea ice segmentation Superpixel /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering |
spellingShingle |
Satellite remote sensing Sea ice segmentation Superpixel /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering Chen, Siyuan Yan, Yijun Ren, Jinchang Hwang, Byongjun Marshall, Stephen Durrani, Tariq Superpixel Based Sea Ice Segmentation with High-Resolution Optical Images:Analysis and Evaluation |
topic_facet |
Satellite remote sensing Sea ice segmentation Superpixel /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering |
description |
By grouping pixels with visual coherence, superpixel algorithms provide an alternative representation of regular pixel grid for precise and efficient image segmentation. In this paper, a multi-stage model is used for sea ice segmentation from the high-resolution optical imagery, including the pre-processing to enhance the image contrast and suppress the noise, superpixel generation and classification, and post-processing to refine the segmented results. Four superpixel algorithms are evaluated within the framework, where the high-resolution imagery of the Chukchi sea is used for validation. Quantitative evaluation in terms of the segmentation quality and floe size distribution, and visual comparison for several selected regions of interest are presented. Overall, the model with TS-SLIC yields the best results, with a segmentation accuracy of 98.19% on average and adhering to the ice edges well. |
author2 |
Liang, Qilian Wang, Wei Liu, Xin Na, Zhenyu Zhang, Baoju |
format |
Article in Journal/Newspaper |
author |
Chen, Siyuan Yan, Yijun Ren, Jinchang Hwang, Byongjun Marshall, Stephen Durrani, Tariq |
author_facet |
Chen, Siyuan Yan, Yijun Ren, Jinchang Hwang, Byongjun Marshall, Stephen Durrani, Tariq |
author_sort |
Chen, Siyuan |
title |
Superpixel Based Sea Ice Segmentation with High-Resolution Optical Images:Analysis and Evaluation |
title_short |
Superpixel Based Sea Ice Segmentation with High-Resolution Optical Images:Analysis and Evaluation |
title_full |
Superpixel Based Sea Ice Segmentation with High-Resolution Optical Images:Analysis and Evaluation |
title_fullStr |
Superpixel Based Sea Ice Segmentation with High-Resolution Optical Images:Analysis and Evaluation |
title_full_unstemmed |
Superpixel Based Sea Ice Segmentation with High-Resolution Optical Images:Analysis and Evaluation |
title_sort |
superpixel based sea ice segmentation with high-resolution optical images:analysis and evaluation |
publisher |
Springer |
publishDate |
2022 |
url |
https://discovery.dundee.ac.uk/en/publications/3d4cc8a8-b53d-4c9f-83ec-e9967fa7e1d7 https://doi.org/10.1007/978-981-19-0390-8_126 http://www.scopus.com/inward/record.url?scp=85128785136&partnerID=8YFLogxK |
genre |
Chukchi Chukchi Sea Sea ice |
genre_facet |
Chukchi Chukchi Sea Sea ice |
op_source |
Chen , S , Yan , Y , Ren , J , Hwang , B , Marshall , S & Durrani , T 2022 , Superpixel Based Sea Ice Segmentation with High-Resolution Optical Images : Analysis and Evaluation . in Q Liang , W Wang , X Liu , Z Na & B Zhang (eds) , Communications, Signal Processing, and Systems : Proceedings of the 10th International Conference on Communications, Signal Processing, and Systems . 1 edn , Lecture Notes in Electrical Engineering , vol. 878 , Springer , Singapore , pp. 1004-1012 , 10th International Conference on Communications, Signal Processing, and Systems, CSPS 2021 , Changbaishan , China , 24/07/21 . https://doi.org/10.1007/978-981-19-0390-8_126 |
op_relation |
https://discovery.dundee.ac.uk/en/publications/3d4cc8a8-b53d-4c9f-83ec-e9967fa7e1d7 urn:ISBN:9789811903892 (hbk) urn:ISBN:9789811903922 (pbk) |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1007/978-981-19-0390-8_126 |
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1004 |
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1012 |
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