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...
Published in: | Remote Sensing |
---|---|
Main Authors: | , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2023
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs15143530 |
id |
ftmdpi:oai:mdpi.com:/2072-4292/15/14/3530/ |
---|---|
record_format |
openpolar |
spelling |
ftmdpi:oai:mdpi.com:/2072-4292/15/14/3530/ 2023-08-20T04:02:25+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 agris 2023-07-13 application/pdf https://doi.org/10.3390/rs15143530 EN eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs15143530 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 15; Issue 14; Pages: 3530 dual frequency precipitation radar global precipitation measurement satellite near nadir normalized radar cross section sea ice detection clustering Text 2023 ftmdpi https://doi.org/10.3390/rs15143530 2023-08-01T10:51:03Z 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. Text Antarc* Antarctic Arctic Sea ice MDPI Open Access Publishing Arctic Antarctic Remote Sensing 15 14 3530 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
dual frequency precipitation radar global precipitation measurement satellite near nadir normalized radar cross section sea ice detection clustering |
spellingShingle |
dual frequency precipitation radar global precipitation measurement satellite near nadir normalized radar cross section sea ice detection clustering 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 |
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 |
Text |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15143530 |
op_coverage |
agris |
geographic |
Arctic Antarctic |
geographic_facet |
Arctic Antarctic |
genre |
Antarc* Antarctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Sea ice |
op_source |
Remote Sensing; Volume 15; Issue 14; Pages: 3530 |
op_relation |
Environmental Remote Sensing https://dx.doi.org/10.3390/rs15143530 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs15143530 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
14 |
container_start_page |
3530 |
_version_ |
1774712850504220672 |