Study on Remote Sensing of Water Depths Based on BP Artificial Neural Network.
A momentum BP neural network model (MBPNNM) was constructed to retrieve the water depth information for the South Channel of the Yangtze River Estuary using the relationship between the reflectance derived from Landsat 7 satellite data and the water depth information.Results showed that MBPNNM, which exhibited a strong capability of nonlinear mapping, allowed the water depth information in the study area to be retrieved at a relatively high level of accuracy.Affected by the sediment concentration of water in the estuary, MBPNNM enabled the retrieval of water depth of less than 5 meters accurately. However, the accuracy was not ideal for the water depths of more than 10 meters.
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| Main Authors: | , , , |
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| Format: | Journal Contribution biblioteca |
| Language: | English |
| Published: |
2007
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| Subjects: | Remote sensing, Data retrieval, |
| Online Access: | http://hdl.handle.net/1834/5850 |
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