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- W2347905179 abstract "Suspended sediment concentration is important for assessment of water quality in oceans. Remote sensing can provide large-scale and continuous suspended sediment concentration information. On the basis of satellite and synchronous in situ measurement data, Neural network was constructed to model the transfer function between in situ suspended sediment concentration and the radiances of 3 TM bands whose center-wavelengths are 485nm, 560nm, and 660nm respectively. The correlation coefficient of neural network model with 3 visible-light bands as inputs is 0.79. It performs better than statistic models in retrieving surface suspended sediment concentration. It is shown that neural network is promising in modeling non-linear function in remote sensing retrieval." @default.
- W2347905179 created "2016-06-24" @default.
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- W2347905179 date "2005-01-01" @default.
- W2347905179 modified "2023-09-25" @default.
- W2347905179 title "Retrieval of suspended sediment concentration in Dalian Bay on basis of neural network model and TM imagery" @default.
- W2347905179 hasPublicationYear "2005" @default.
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