Analysis of Valid Ranges in Soil Inversion Models Based on the Cloude-Pottier Decomposition

In this paper we improve the valid range analysis method in soil inversion models, using entropy/alpha space in the Cloude-Pottier decomposition theory. The ranges in data where inversion models can be applied are called the valid ranges of the inversion models. The improved valid ranges are considered more accurate through the Integral Equation Method (IEM) simulations. General method used to find out valid ranges of inversion models is the Normalized Difference Vegetation Index (NDVI), which shows the areas where the vegetation over soil is not too heavy for inversion models to apply. The proposed method introduces entropy/alpha parameters to the analysis of valid ranges, because these two parameters are closely related to target scattering mechanisms. Experiment results with fully polarimetric AIRSAR data show that the effectiveness of inversion models is increased by adding entropy/alpha space analysis.