Neural networks in atmospheric remote sensing
Blackwell, William J.
Chen, Frederick W.
In the electrical engineering field, a neural network refers to interconnecting artificial neurons that mimic the properties of biological neurons to perform sophisticated, intelligent tasks. This authoritative reference offers a comprehensive understanding of the underpinnings and practical applications of artificial neural networks and their use in the retrieval of geophysical parameters. Offers expert guidance on the development and evaluation of neural network algorithms that process data from a new generation of hyperspectral sensors.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. Includes a CD-ROM that contains MATLAB software codes to accompany many of the examples presented in the book.
- ISBN: 978-1-59693-372-9
- Editorial: Artech House
- Encuadernacion: Cartoné
- Páginas: 234
- Fecha Publicación: 31/07/2009
- Nº Volúmenes: 1
- Idioma: Inglés