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- W2363020670 abstract "In order to further improve the accuracy of remote sensing retrieval of inland water quality,the paper chose Wenyu River in Beijing as research object,and used ETM + data and plesiochronous measured water quality parameters( turbidity,BOD 5) data to establish BP neural network models with several hidden layers being one. It chose the best neural network model aimed at turbidity and BOD 5 and used ETM + image. to retrieve turbidity values and BOD 5 concentration values. Finally,it compared the retrieval results with the result retrieved by the conventional multiple linear regression model. The result shows that the remote sensing retrieval of Wenyu River water quality is a nonlinear problem,using BP neural network method for both turbidity and BOD 5 water quality retrieval is superior to the linear regression method." @default.
- W2363020670 created "2016-06-24" @default.
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- W2363020670 date "2013-01-01" @default.
- W2363020670 modified "2023-09-23" @default.
- W2363020670 title "Study on retrieval model of water quality parameter in Wenyu River based on BP neural network" @default.
- W2363020670 hasPublicationYear "2013" @default.
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