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《Remote Sensing Technology and Application》 2009-01
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Study on Neural Network Model for Weihe River Water Quality Retrieving Using Remote-sensing Image

ZHAO Yu-qin,WNAG Xi-li,JIANG Sai(College of Computer Science,Shaanxi Normal University,Xi'an Shaanxi 710062,China)  
This paper is focused on Weihe River in Shaanxi Province.With conventional monitoring data of Weihe River in Shaanxi and SPOT-5 data in the same period obtained,the remote sensing data are preprocessed to set up a BP neural network model and RBF neural network model to reverse concentrations of CODcr,NH3-N,DO,CODmm.The result of experiment shows that artificial neural network used for inversing water quality parameters was effective,because artificial neural network is nonlinear,its retrieving results were much better than linear regression model.
【Fund】: 国家自然科学基金项目(40671133)
【CateGory Index】: TP183
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