Study On Parameters Inversion Of EM Scattering From Vegetation

In this thesis, the inversion problems of electromagnetic scattering from vegetation are studied. Based on the theory of the polarimetric interferometric SAR, all sorts of algorithms from inversion height are discussed particularly, which have important significance to promote the development of remote sensing technology. The main works and results are as follows:1. Take wheat as an example, electromagnetic scattering coefficients form a two-layer vegetation are solved by the radiative transfer theory. The coefficient considering the influence of trunk layer are discussed based on the Monte-Carlo simulation.2. The coherent scattering models and the parameter inversion models are Researched, the vegetation vertical structure function is established. By introducing the RVoG and OVoG vegetation models, the impact of the parameters is discussed. The relationship between the RVoG model and its inversion model is mainly discussed.3. After analysis of extended Bragg model of soil parameters, the effectiveness of inverting the dielectric constant with the angle of a is verified. The rough surface with vegetation inversion problems can been get rid of through three decomposition method.The principles of the inversion process on the DEM differencing algotithm and Coherence Amplitude method are stated, and the existing theory evolved by the two algorithms comprehensively improve the precision of tree height.4. By the description of the vegetation vertical structure, the classical ESPRIT algorithm and the maximum likelihood algorithm based on the statistical characteristics are established on inversion model of tree height. Inverting the forest height through the single baseline is researched. Mean while, the effects of the man-made objects to vegetation scattering coefficient are discussed.