A Processing Method For Remote sensing imagery data based on bayesian network model

Li Qiqing; Ma Jianwen; Hasi Bagan; Han Xiuzhen; Liu Zhili

Volume 25 Issue 10

Oct. 2003

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Article Navigation > Journal of Electronics & Information Technology > 2003 > 25(10): 1321-1326

Li Qiqing, Ma Jianwen, Hasi Bagan, Han Xiuzhen, Liu Zhili. A Processing Method For Remote sensing imagery data based on bayesian network model[J]. Journal of Electronics & Information Technology, 2003, 25(10): 1321-1326.

Citation:

Li Qiqing, Ma Jianwen, Hasi Bagan, Han Xiuzhen, Liu Zhili. A Processing Method For Remote sensing imagery data based on bayesian network model[J]. Journal of Electronics & Information Technology, 2003, 25(10): 1321-1326.

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A Processing Method For Remote sensing imagery data based on bayesian network model

Received Date: 2002-09-23
Rev Recd Date: 2002-12-23
Publish Date: 2003-10-19

Abstract

Abstract

Bayesian network is a new inference and express method of uncertain knowledge. It is proposed an inference and express technique for remote sensing imagery data which has complexity and uncertainty based on Bayesian Network Model(BNM). In the paper, the LU data, TSP and LST/Albedo data of AVHR.R time-sequence imagery which get from the project of China-Japan Asian dust storm in 2002 are used to analyze the dust storm and at the same time BNM is used to describe the knowledge and information inference. The satisfied results are given in the paper with the method.

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References

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