Title | ||
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Analysis of Valid Ranges in Soil Inversion Models Based on the Cloude-Pottier Decomposition. |
Abstract | ||
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In this paper we improve the 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 is according to the Normalized Difference Vegetation Index (NDVI). NDVI is used to show the areas where 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 H-�. space analysis. Soil roughness and moisture are important parameters in a wide range of environmental issues, including hydrology, ecology, meteorology and agriculture. Estimation of these parameters are usually obtained by empirical models, such as those developed by Oh et al.(1), Dubois et al.(2), because it is really difficult to directly get parameters from theoretical models. |
Year | DOI | Venue |
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2008 | 10.1109/IGARSS.2008.4779120 | IGARSS |
Keywords | Field | DocType |
scattering,atmospheric modeling,normalized difference vegetation index,scattering parameters,integral equations,entropy,space technology,image analysis,parameter estimation,vegetation,alpha,mathematical model,empirical model,inverse modeling | Polarimetry,Space technology,Computer science,Inversion (meteorology),Remote sensing,Integral equation,Atmospheric model,Normalized Difference Vegetation Index,Scattering,Estimation theory | Conference |
Volume | Issue | ISSN |
2 | 1 | null |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 |