Soil Moisture Retrieval Based on ASAR Data and Genetic Neural Networks

Chang Lin Xiao; Yan Chen; Lina Liu; Ling Tong; Ming Quan Jia

doi:10.4028/www.scientific.net/KEM.500.198

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Soil Moisture Retrieval Based on ASAR Data and Genetic Neural Networks
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 500Soil Moisture Retrieval Based on ASAR Data and...

Soil Moisture Retrieval Based on ASAR Data and Genetic Neural Networks

Abstract:

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.

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Periodical:

Key Engineering Materials (Volume 500)

Pages:

198-203

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.500.198

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Online since:

January 2012

Authors:

Chang Lin Xiao, Yan Chen, Lina Liu, Ling Tong, Ming Quan Jia

Keywords:

AIEM, ASAR, Genetic, Neural Network (NN), Soil Moistur

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