THE APPLICATION OF THE BAYESIAN NETWORK METHOD<br />
TO AIRBORNE DATA CLASSIFICATION

doi:10.6046/gtzyyg.2005.01.08

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Abstract

In this paper, the technical procedures and data analysis in using Bayesian network to process airborne

data are described. The result shows that the Bayesian network method has three advantages. First, both the prior

probability and features are used to establish the probability estimation weighing relations shown in associated

probability chart; Second, the linkage of the directed acyclic graph (DAG) and classes can clearly show the

relations between independence vectors (bands) and classes; Third, according to the contribution degree of three

inputted bands quantitatively shown in associated probabilities for each class, the prior probability can be

revised. The study results suggest that Bayesian network is likely to become a new practical method for remote

sensing data processing.

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	TP 751

Issue Date: 30 July 2009

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Cite this article:

DAI Qin, MA Jian-Wen, CHEN Xue, LIU Jian-Ming, WANG Er-He. THE APPLICATION OF THE BAYESIAN NETWORK METHOD
TO AIRBORNE DATA CLASSIFICATION[J]. REMOTE SENSING FOR LAND & RESOURCES,2005, 17(1): 34-36.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2005.01.08 OR https://www.gtzyyg.com/EN/Y2005/V17/I1/34

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