Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions
Accurate identification of sea ice type from altimeter data is important for inversion of sea ice freeboard by radar altimeter, as well as for maritime navigation in polar regions. Previous sea ice classification studies have rarely involved multifrequency altimeter data. In this article, benefiting...
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IEEE
2021-01-01
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Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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Online Access: | https://ieeexplore.ieee.org/document/9548799/ |
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author | Xi Zhang Yixun Zhu Jie Zhang Qimao Wang Lijian Shi Junmin Meng Chenqing Fan Meijie Liu Genwang Liu Meng Bao |
author_facet | Xi Zhang Yixun Zhu Jie Zhang Qimao Wang Lijian Shi Junmin Meng Chenqing Fan Meijie Liu Genwang Liu Meng Bao |
author_sort | Xi Zhang |
collection | DOAJ |
description | Accurate identification of sea ice type from altimeter data is important for inversion of sea ice freeboard by radar altimeter, as well as for maritime navigation in polar regions. Previous sea ice classification studies have rarely involved multifrequency altimeter data. In this article, benefiting from the dual-frequency observation capability of the Chinese HY-2B altimeter, differences between waveform features of <italic>C-</italic> and Ku-band radar altimeter over different types of sea ice were investigated and analyzed for the first time. To validate and evaluate the sea ice classification capability of different feature combinations of the different bands, we extracted 14 features from the waveforms of <italic>C-</italic> and Ku-band HY-2B altimeter data acquired between December 2019 and April 2020. Our experiments demonstrated that the <italic>C-</italic> and Ku-band radar waveforms are sensitive to sea ice type, and that sea ice type classification could be improved by combining Ku- and <italic>C-</italic>band data. This work also proposed a sea ice classification methodology using <italic>C-</italic> and Ku-band altimeter waveforms. Comparison with results from previous studies indicated that the overall accuracy of the proposed method (up to 93.45%) is much higher than that of existing state-of-the-art methods. |
first_indexed | 2024-12-22T07:05:05Z |
format | Article |
id | doaj.art-97727acd11ef440b98783ab4f4ed1777 |
institution | Directory Open Access Journal |
issn | 2151-1535 |
language | English |
last_indexed | 2024-12-22T07:05:05Z |
publishDate | 2021-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
spelling | doaj.art-97727acd11ef440b98783ab4f4ed17772022-12-21T18:34:42ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-01149855987210.1109/JSTARS.2021.31142289548799Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring ConditionsXi Zhang0https://orcid.org/0000-0001-7907-6363Yixun Zhu1Jie Zhang2https://orcid.org/0000-0002-2635-7783Qimao Wang3Lijian Shi4https://orcid.org/0000-0003-1046-3984Junmin Meng5Chenqing Fan6Meijie Liu7Genwang Liu8Meng Bao9First Institute of Oceanography, Ministry of Natural Resources of China, Qingdao, ChinaFirst Institute of Oceanography, Ministry of Natural Resources of China, Qingdao, ChinaFirst Institute of Oceanography, Ministry of Natural Resources of China, Qingdao, ChinaNational Satellite Ocean Application Service, Beijing, ChinaNational Satellite Ocean Application Service, Beijing, ChinaFirst Institute of Oceanography, Ministry of Natural Resources of China, Qingdao, ChinaFirst Institute of Oceanography, Ministry of Natural Resources of China, Qingdao, ChinaQingdao University, Qingdao, ChinaFirst Institute of Oceanography, Ministry of Natural Resources of China, Qingdao, ChinaFirst Institute of Oceanography, Ministry of Natural Resources of China, Qingdao, ChinaAccurate identification of sea ice type from altimeter data is important for inversion of sea ice freeboard by radar altimeter, as well as for maritime navigation in polar regions. Previous sea ice classification studies have rarely involved multifrequency altimeter data. In this article, benefiting from the dual-frequency observation capability of the Chinese HY-2B altimeter, differences between waveform features of <italic>C-</italic> and Ku-band radar altimeter over different types of sea ice were investigated and analyzed for the first time. To validate and evaluate the sea ice classification capability of different feature combinations of the different bands, we extracted 14 features from the waveforms of <italic>C-</italic> and Ku-band HY-2B altimeter data acquired between December 2019 and April 2020. Our experiments demonstrated that the <italic>C-</italic> and Ku-band radar waveforms are sensitive to sea ice type, and that sea ice type classification could be improved by combining Ku- and <italic>C-</italic>band data. This work also proposed a sea ice classification methodology using <italic>C-</italic> and Ku-band altimeter waveforms. Comparison with results from previous studies indicated that the overall accuracy of the proposed method (up to 93.45%) is much higher than that of existing state-of-the-art methods.https://ieeexplore.ieee.org/document/9548799/Dual-band radar altimeterHY-2Bsea ice classificationwaveform features |
spellingShingle | Xi Zhang Yixun Zhu Jie Zhang Qimao Wang Lijian Shi Junmin Meng Chenqing Fan Meijie Liu Genwang Liu Meng Bao Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Dual-band radar altimeter HY-2B sea ice classification waveform features |
title | Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions |
title_full | Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions |
title_fullStr | Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions |
title_full_unstemmed | Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions |
title_short | Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions |
title_sort | assessment of arctic sea ice classification ability of chinese hy 2b dual band radar altimeter during winter to early spring conditions |
topic | Dual-band radar altimeter HY-2B sea ice classification waveform features |
url | https://ieeexplore.ieee.org/document/9548799/ |
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