Title :
A numerically derived electromagnetic scattering model for grass grain heads
Author :
Siqueira, Paul ; Sarabandi, Kamal
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
An easy to use semi-empirical model for the scattering from grass grain heads has been developed with the assistance of the T-matrix method for determining scattered fields. It is shown that that physical grain model is significantly different than the more commonly employed dielectric cylinder nuclei and that the derived empirical model can be used to efficiently replicate results obtained from the numerical analysis
Keywords :
S-matrix theory; agriculture; backscatter; geophysical techniques; radar cross-sections; radar theory; remote sensing by radar; T-matrix method; agriculture; backscatter; cereal crops; derived empirical model; dielectric cylinder nuclei; electromagnetic scattering model; geophysical measurement technique; grass grain heads; numerical analysis; numerical model; physical model; radar remote sensing; scattering matrix; semi-empirical model; semiempirical model; vegetation mapping; Backscatter; Dielectrics; Electromagnetic modeling; Electromagnetic scattering; Engine cylinders; Particle scattering; Predictive models; Radar scattering; Remote sensing; Vegetation;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
DOI :
10.1109/IGARSS.1996.516655
