DocumentCode :
3393800
Title :
Assessment of Soil Parameter Estimation Errors for Fusion of Multichannel Radar Measurements
Author :
Kurekin, A. ; Marshall, D. ; Radford, D. ; Lever, K. ; Kulemin, G.
Author_Institution :
Cardiff Univ.
fYear :
2006
fDate :
10-13 July 2006
Firstpage :
1
Lastpage :
8
Abstract :
The application of multichannel radar measurement techniques for estimation of bare soil parameters is based on different principles of radiowave and soil surface interaction depending on radiowave frequency, polarisation and incidence angle. The accuracy of soil parameter estimation depends on the number of radar measurements and the choice of radiowave parameters. Random and systematic errors present in radar data may also have the impact on estimation results. To improve the accuracy of soil parameters estimation by fusion of multichannel radar data we propose a new method for assessment of estimation errors. It is based on local linear approximation of the radiowave scattering model and takes into account impairment characteristics, measurement conditions and radar parameters. This new method is applied to an example to illustrate how the estimation accuracy of soil moisture and roughness parameters can be improved by optimising the radar operating frequencies
Keywords :
electromagnetic wave polarisation; electromagnetic wave scattering; moisture; parameter estimation; remote sensing by radar; sensor fusion; soil; telecommunication channels; data fusion; estimation error assessment; incidence angle; local linear approximation; multichannel radar measurement; polarisation; radiowave frequency; radiowave scattering model; soil moisture; soil parameter estimation; soil surface interaction; Estimation error; Frequency estimation; Linear approximation; Parameter estimation; Polarization; Radar measurements; Radar scattering; Scattering parameters; Soil measurements; Soil moisture; Data fusion; errors; radar measurements; radar scattering model; soil moisture; soil roughness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2006 9th International Conference on
Conference_Location :
Florence
Print_ISBN :
1-4244-0953-5
Electronic_ISBN :
0-9721844-6-5
Type :
conf
DOI :
10.1109/ICIF.2006.301577
Filename :
4085863
Link To Document :
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