Volume 31 Issue 8
Aug.  2006
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L Heng, LI Xinguo, CAO Kai. Quantitative Retrieval of Suspended Solid Concentration in Lake Taihu Based on BP Neural Net[J]. Geomatics and Information Science of Wuhan University, 2006, 31(8): 683-686.
Citation: L Heng, LI Xinguo, CAO Kai. Quantitative Retrieval of Suspended Solid Concentration in Lake Taihu Based on BP Neural Net[J]. Geomatics and Information Science of Wuhan University, 2006, 31(8): 683-686.
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Quantitative Retrieval of Suspended Solid Concentration in Lake Taihu Based on BP Neural Net

  • 1 Nanjing Institute of Geography and Limnology,CAS,73 East Beijing Road,Nanjing 210008,China;2 Graduate School of Chinese Academy of Sciences,19A Yuquan Road,Beijing 100049,China;3 Department of City and Resource Science,Nanjing University,22 Hankou Road,Nanjing 210093,China

Funds: 中国科学院南京地理与湖泊研究所所长基金资助项目
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  • Received Date: April 17, 2006
  • Revised Date: April 17, 2006
  • Published Date: August 04, 2006
    Graphical Abstract
    • Abstract
  • A two-layer BP neural net model is constructed with four input nodes of TM1,2,3,4 band reflectances,and one output node of suspended solid concentration(SSC) to retrieve SSC of Lake Taihu.The results demonstrated that BP neural net is very fit to quantitatively retrieve water quality of case II water with complex optic characteristic,and has much higher accuracy than the common linear model.A test was made and the results suggest that 13 had relative error(RE)RE of less than 30%,accounting for 81.25% of the total samples.
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