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Zou Juhong, Lin Mingsen, Zou Bin, Guo Maohua, Cui Songxue. Automated cyclone detection using HY-2 satellite data[J]. Haiyang Xuebao, 2015, 37(1): 73-79. doi: 10.3969/j.issn.0253-4193.2015.01.008
Citation: Zou Juhong, Lin Mingsen, Zou Bin, Guo Maohua, Cui Songxue. Automated cyclone detection using HY-2 satellite data[J]. Haiyang Xuebao, 2015, 37(1): 73-79. doi: 10.3969/j.issn.0253-4193.2015.01.008

Automated cyclone detection using HY-2 satellite data

doi: 10.3969/j.issn.0253-4193.2015.01.008
  • Received Date: 2013-10-29
  • Rev Recd Date: 2014-05-05
  • An automated cyclone detection algorithm based on HY-2 wind data was studied. Two steps were included in this algorithm, which were coarse identification and precise identification. The histogram features of the wind speed and wind direction of cyclone was used for a coarse identification, so that some apparent non-tropical cyclone zones can be excluded rapidly. And then a more precise identification which makes use of the circulation property of cyclone was applied to the wind data which could pass the coarse identification. With the two steps identification algorithm, rapid and accurate identification of tropical cyclones can be implemented. As an example, a sequence of HY-2 L2B wind data was used to identify and track severe tropical storm Doksuri 2012, the result showed that cyclone could be correctly identified with our method, which demonstrated the feasibility and usefulness of our automated approach.
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