| Autor: |
1박신명, 손성환, 문현욱, 유동길, 강연덕, 오이석 |
| Předmět: |
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| Zdroj: |
Journal of Korean Institute of Electromagnetic Engineering & Science / Han-Guk Jeonjapa Hakoe Nonmunji; Apr2020, Vol. 31 Issue 4, p358-365, 8p |
| Abstrakt: |
This paper presents a simple microwave backscattering model achieved by reducing the number of input parameters, based on sensitivity examinations of the input parameters of the 1st-order radiative transfer(RT) model. The proposed model can be used to compute the microwave backscattering coefficients in agricultural areas. First, we generated an extensive database of microwave backscattering coefficients corresponding to various vegetation and surface conditions, using the 1st-order RT technique. This database comprises the backscattering coefficients of agricultural areas acquired via COSMO-SkyMed synthetic aperture radar and the Hongik polarimetric scatterometer and also the backscattering coefficients computed using existing scattering models and in-situ measured ground-truth data corresponding to radar data. Subsequently, we examine the sensitivity of the input parameters based on the difference between backscattering coefficients and global sensitivity analyses. Among a total of 32 input parameters, based on the sensitivities calculated for various vegetation types, frequencies, and ranges, 12 input parameters of the RT model exhibited the highest sensitivity Thereafter, we verified the accuracy of the proposed simple scattering model for agricultural areas. The root mean square error(RMSE) between the measurement data and the simple model is approximately 0.95 dB, whereas the RMSE between the measurement data and the 1st-order RT model is 0.91 dB. Although the number of input parameters for the simple model is reduced by approximately one third, the accuracy of the scattering model is maintained. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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