Soil Moisture Retrieval Based on ASAR Data and Genetic Neural Networks
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.
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