SHI Yan, DENG Min, LIU Qiliang, TANG Jianbo. A Multi-scale Regionalization Method for Sea Surface TemperatureBased on a Scale-Space Clustering[J]. Geomatics and Information Science of Wuhan University, 2013, 38(12): 1484-1489.
Citation: SHI Yan, DENG Min, LIU Qiliang, TANG Jianbo. A Multi-scale Regionalization Method for Sea Surface TemperatureBased on a Scale-Space Clustering[J]. Geomatics and Information Science of Wuhan University, 2013, 38(12): 1484-1489.

A Multi-scale Regionalization Method for Sea Surface TemperatureBased on a Scale-Space Clustering

Funds: 教 育 部 新 世 纪 优 秀 人 才 支 持 计 划 资 助 项 目 (NECT-10-0831);高 等 学 校 博 士 学 科 点 专 项 科 研 基 金 资 助 项 目(20110162110056);江苏省资源环境重点实验室开放基金资助项目(JS201101);现代工程测量国家测绘地理信息局重点实验室开放基金资助项目(TJES1102);中南大学前沿研究计划资助项目(2010QYZD002)
More Information
  • Received Date: October 15, 2013
  • Revised Date: December 04, 2013
  • Published Date: December 04, 2013
  • Regionalization based on the elements of climate using a clustering method is animportant approach to identify climate zones.A scale-space clustering method is proposed formulti-scale regionalization of sea surface temperatures from the Pacific Ocean.First,a modi-fied clustering method is developed based on scale-space theory for climate time sequences.Second,the method is used to regionalize the sea surface temperature of the Pacific Ocean.The results obtained demonstrate that the proposed method is able to reconstruct the climateindices accurately without input parameters,and is more effective and advantageous thanother approaches.
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