The method study on automatic sea ice detection with GaoFen-3 synthetic aperture radar data in polar regions

Zheng Minwei; Li Xiaoming; Ren Yongzheng

doi:10.3969/j.issn.0253-4193.2018.09.010

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Zheng Minwei, Li Xiaoming, Ren Yongzheng. The method study on automatic sea ice detection with GaoFen-3 synthetic aperture radar data in polar regions[J]. Haiyang Xuebao, 2018, 40(9): 113-124. doi: 10.3969/j.issn.0253-4193.2018.09.010

Citation:

Zheng Minwei, Li Xiaoming, Ren Yongzheng. The method study on automatic sea ice detection with GaoFen-3 synthetic aperture radar data in polar regions[J]. Haiyang Xuebao, 2018, 40(9): 113-124. doi: 10.3969/j.issn.0253-4193.2018.09.010

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The method study on automatic sea ice detection with GaoFen-3 synthetic aperture radar data in polar regions

doi: 10.3969/j.issn.0253-4193.2018.09.010

1.
University of Chinese Academy of Sciences, Beijing 100049, China;Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
2.
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;Hainan Key Laboratory of Earth Observation, Sanya 572029, China
3.
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China

Received Date: 2017-08-28
Rev Recd Date: 2017-10-23

Abstract

Abstract

With climate change occurrence, such as global warming, polar sea ice has been drawn increasing attentions. Synthetic aperture radar (SAR) can monitor earth independent on sunlight and cloud. GaoFen-3 is a C-band SAR of the GaoFen series satellites, which has multiple imaging modes and can obtain data globally. SAR plays an important role in monitoring polar sea ice due to the advantage of all-weather operation and high spatial resolution. Bases on the GaoFen-3 horizontal-vertical data, we proposed an automatic method to discriminate sea ice and sea water, using the support vector machine classification method. The detected sea ice shows good agreement with visual inspection. The successful development of this algorithm supports the Gaofen-3 SAR for operational service of monitoring polar sea ice.
- GaoFen-3 synthetic aperture radar,
- sea ice detection,
- support vector machine,
- grey level co-occurrence matrix

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References(27)

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