多频段典型地表后向散射回波经验模型

doi:10.3969/j.issn.1001-2400.2016.05.033

Abstract

Abstract:

Based on the electromagnetic scattering theory of the rough surface and discrete random medium, a multi-band empirical model for land backscattering prediction in 1～16GHz is proposed to tap the potential of remote sensing in application for agricultural production and targets detection efficiently. It should be noticed that this empirical model only have seven unknowns, and that it overcomes the problems in numerous inputs and inaccuracies echoes prediction. It is verified by the measured data of soil, sand and concrete in the L/S/X/Ku band for HH and VV polarizations. The results show that the backscattering coefficients from soil, sand and concrete predicted by the empirical model are in good agreement with the measured data. Meanwhile, this multi-band empirical model can be used to forecast the backscattering echoes at any frequency in 1～16GHz accurately. So this empirical model has a great application value for it can greatly improve the computational efficiency for the backscattering coefficients prediction, and also it can effectively reduce the workload in the field experiments.

Key words: multi-band, electromagnetic scattering, land, empirical model

ZHANG Yuanyuan;WU Zhensen;ZHANG Yushi. Multi-band empirical model for backscattering coefficients prediction from typical land surfaces[J].Journal of Xidian University, 2016, 43(5): 190-196.

References

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Multi-band empirical model for backscattering coefficients prediction from typical land surfaces

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