#石岩, 邓敏, 刘启亮, 唐建波. 融合尺度空间聚类思想的海温多尺度分区方法[J]. 武汉大学学报 ( 信息科学版), 2013, 38(12): 1484-1489.
引用本文: #石岩, 邓敏, 刘启亮, 唐建波. 融合尺度空间聚类思想的海温多尺度分区方法[J]. 武汉大学学报 ( 信息科学版), 2013, 38(12): 1484-1489.
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.

融合尺度空间聚类思想的海温多尺度分区方法

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

  • 摘要: 采用多尺度空间聚类方法研究了太平洋海温的多尺度区域划分。首先,基于尺度空间思想,针对气候时间序列,提出了一种改进的尺度空间聚类方法。然后,采用所提出的聚类方法对太平洋海温进行多尺度划分,结果发现,多尺度区域划分结果可以准确重建现有海洋气候指数,且不需用户输入参数。

     

    Abstract: 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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