Cloud Model and Hierarchical Clustering Based Spatial Data Mining Method and Application

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Date:

13-06-2008
Vendor:

Wuhan University
Registration:

Required
Type:

Whitepapers
File size:

586.9 KB
Format:

PDF, Acrobat Reader
Pages:

6

Publisher’s description

The paper proposed a method of weather classification based on cloud model and hierarchical clustering. Firstly, according to the weather sampling data from FY-2C images, cluster the brightness values of five wave bands by hierarchical clustering approach based on cloud model, and generate the centres and the parameters of clusters of image features in different rainy weather types. Secondly, through the precondition cloud generator, compute the membership degree of each pixel of FY-2C images to each cluster which represented by cloud model. Lastly, determinate the precipitation weather type of corresponding weather stations. The experiments validate the proposed method.

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Cloud Model and Hierarchical Clustering Based Spatial Data Mining Method and Application