AI Bibliography
AI Bibliography |
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Blackwell, W. J., & Chen, F. W. (2009). Neural networks in atmospheric remote sensing. Artech House. |
| Resource type: Book ID no. (ISBN etc.): 9781596933736 BibTeX citation key: Blackwell2009 View all bibliographic details  |
Categories: Computer Science, Data Sciences, Engineering, General, Military Science Subcategories: Big data, Machine recognition, Neural nets Creators: Blackwell, Chen Publisher: Artech House Collection: |
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| Abstract |
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This authoritative reference offers you a comprehensive understanding of the underpinnings and practical applications of artificial neural networks and their use in the retrieval of geophysical parameters. You find expert guidance on the development and evaluation of neural network algorithms that process data from a new generation of hyperspectral sensors. The book provides clear explanations of the mathematical and physical foundations of remote sensing systems, including radiative transfer and propagation theory, sensor technologies, and inversion and estimation approaches. You discover how to use neural networks to approximate remote sensing inverse functions with emphasis on model selection, preprocessing, initialization, training, and performance evaluation.
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