Sea Ice Detection by an Unsupervised Method Using Ku- and Ka-Band Radar Data at Low Incidence Angles: First Results
This paper presents the first results of sea ice detection using the data of Ka- and Ku-band radars at low incidence angles. A classification method based on an unsupervised K-means approach is applied to the arrays of the data for the Arctic and Antarctic regions. Comparison with Advanced Microwave...
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2023
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ftdoajarticles:oai:doaj.org/article:5e9cb6015c3b40149388436cbb8b659c 2023-08-20T04:02:08+02:00 Sea Ice Detection by an Unsupervised Method Using Ku- and Ka-Band Radar Data at Low Incidence Angles: First Results Maria Panfilova Vladimir Karaev 2023-07-01T00:00:00Z https://doi.org/10.3390/rs15143530 https://doaj.org/article/5e9cb6015c3b40149388436cbb8b659c EN eng MDPI AG https://www.mdpi.com/2072-4292/15/14/3530 https://doaj.org/toc/2072-4292 doi:10.3390/rs15143530 2072-4292 https://doaj.org/article/5e9cb6015c3b40149388436cbb8b659c Remote Sensing, Vol 15, Iss 3530, p 3530 (2023) dual frequency precipitation radar global precipitation measurement satellite near nadir normalized radar cross section sea ice detection clustering Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15143530 2023-07-30T00:34:47Z This paper presents the first results of sea ice detection using the data of Ka- and Ku-band radars at low incidence angles. A classification method based on an unsupervised K-means approach is applied to the arrays of the data for the Arctic and Antarctic regions. Comparison with Advanced Microwave Scanning Radiometer 2 (AMSR-2) data was performed, and the dependence of classification performance was evaluated for incidence angles from 0° to 18.15°. This paper evaluates the classification accuracy of sea ice detection based on Ku-band, Ka-band, and their combination. Preliminary results indicate that the classification based solely on Ku-band data achieves the best performance. Article in Journal/Newspaper Antarc* Antarctic Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Antarctic Arctic Remote Sensing 15 14 3530 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
dual frequency precipitation radar global precipitation measurement satellite near nadir normalized radar cross section sea ice detection clustering Science Q |
spellingShingle |
dual frequency precipitation radar global precipitation measurement satellite near nadir normalized radar cross section sea ice detection clustering Science Q Maria Panfilova Vladimir Karaev Sea Ice Detection by an Unsupervised Method Using Ku- and Ka-Band Radar Data at Low Incidence Angles: First Results |
topic_facet |
dual frequency precipitation radar global precipitation measurement satellite near nadir normalized radar cross section sea ice detection clustering Science Q |
description |
This paper presents the first results of sea ice detection using the data of Ka- and Ku-band radars at low incidence angles. A classification method based on an unsupervised K-means approach is applied to the arrays of the data for the Arctic and Antarctic regions. Comparison with Advanced Microwave Scanning Radiometer 2 (AMSR-2) data was performed, and the dependence of classification performance was evaluated for incidence angles from 0° to 18.15°. This paper evaluates the classification accuracy of sea ice detection based on Ku-band, Ka-band, and their combination. Preliminary results indicate that the classification based solely on Ku-band data achieves the best performance. |
format |
Article in Journal/Newspaper |
author |
Maria Panfilova Vladimir Karaev |
author_facet |
Maria Panfilova Vladimir Karaev |
author_sort |
Maria Panfilova |
title |
Sea Ice Detection by an Unsupervised Method Using Ku- and Ka-Band Radar Data at Low Incidence Angles: First Results |
title_short |
Sea Ice Detection by an Unsupervised Method Using Ku- and Ka-Band Radar Data at Low Incidence Angles: First Results |
title_full |
Sea Ice Detection by an Unsupervised Method Using Ku- and Ka-Band Radar Data at Low Incidence Angles: First Results |
title_fullStr |
Sea Ice Detection by an Unsupervised Method Using Ku- and Ka-Band Radar Data at Low Incidence Angles: First Results |
title_full_unstemmed |
Sea Ice Detection by an Unsupervised Method Using Ku- and Ka-Band Radar Data at Low Incidence Angles: First Results |
title_sort |
sea ice detection by an unsupervised method using ku- and ka-band radar data at low incidence angles: first results |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15143530 https://doaj.org/article/5e9cb6015c3b40149388436cbb8b659c |
geographic |
Antarctic Arctic |
geographic_facet |
Antarctic Arctic |
genre |
Antarc* Antarctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Sea ice |
op_source |
Remote Sensing, Vol 15, Iss 3530, p 3530 (2023) |
op_relation |
https://www.mdpi.com/2072-4292/15/14/3530 https://doaj.org/toc/2072-4292 doi:10.3390/rs15143530 2072-4292 https://doaj.org/article/5e9cb6015c3b40149388436cbb8b659c |
op_doi |
https://doi.org/10.3390/rs15143530 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
14 |
container_start_page |
3530 |
_version_ |
1774712514134671360 |