Quantitative retrieval of suspended solid concentration in Lake Taihu based on BP neural net
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 I...
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Main Authors: | , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2006
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6683 |
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Institution: | Singapore Management University |
Language: | English |