By Topic

Land-Based Scatterometer Measurements and Retrieval of Surface Parameters Using Neural Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Mingquan Jia ; Inst. of Autom., Univ. of Electron. Sci. & Technol. of China, Chengdu ; Yan Chen ; Ling Tong ; Zengcan Liu
more authors

In this study, a multi-band FM-CW land- based scatterometer is used to measure the backscattering coefficient of bare soil surface. And then combined with the neural network which can be simulated in any nonlinear problem in theory, and integrated equation model (IEM) which has a wide range of surface roughness, has realized all of the surface parameters inversion through the theoretical simulation and the experimental data, including dielectric constant, surface rms high and correlation length. The results have a better consistency with the actual measurement parameters, and the difference among different angles inversion results reflects the uneven characteristics of reality surface. Final shows that retrieval of multi-parameter using neural networks to be effective, at the same time that simultaneous measurement of backscattering coefficient and surface parameter is a effective means that study features of microwave scattering.

Published in:

Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on  (Volume:2 )

Date of Conference:

21-22 Dec. 2008