Paper Title:
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.

  Info
Periodical
Chapter
Chapter 1: Material Engineering and Technology
Edited by
David Wang
Pages
198-203
DOI
10.4028/www.scientific.net/KEM.500.198
Citation
C. L. Xiao, Y. Chen, L. Liu, L. Tong, M. Q. Jia, "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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