Soil Moisture Retrieval Based on ASAR Data and Genetic Neural Networks

Abstract:

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Genetic Algorithm can further optimize Neural Networks, and this optimized Algorithm has been used in many fields and made better results, but currently, it have not been used in inversion parameters. This paper used backscattering coefficients from ASAR, AIEM model to calculate data as neural network training data and through Genetic Algorithm Neural Networks to retrieve soil moisture. Finally compared with practical test and shows the validity and superiority of the Genetic Algorithm Neural Networks.

Info:

Periodical:

Edited by:

David Wang

Pages:

198-203

DOI:

10.4028/www.scientific.net/KEM.500.198

Citation:

C. L. Xiao et al., "Soil Moisture Retrieval Based on ASAR Data and Genetic Neural Networks", Key Engineering Materials, Vol. 500, pp. 198-203, 2012

Online since:

January 2012

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Price:

$35.00

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