Parameters Inversion Using PolInSAR In Foreast Area By Coherence Set

Polarimetric SAR interferometry (PolInSAR) integrates Polarimetric SAR technology (PolSAR) and interferometric SAR (InSAR) technology together. It has the capability of acquiring target scattering structure and target spatial distribution. PolInSAR can help InSAR to improve height measurements and help PolSAR to improve interpretation of scattering mechanism. Therefore, PolInSAR has been used in military use and civilian use.PolInSAR has been widely used in inverting parameters in forest area on account of the ability that L- or P-band SAR can penetrate vegetation crown. So it can be used to invert vegetation parameters in forest area, especially for vegetation height and terrain parameters. These parameters are the bases of forest monitor.Parameters inversion in forest area using PolInSAR by coherence set is presented in this dissertation. The key contents include basic theory of PolInSAR technology, different coherence scattering models; parameters inversion in forest area by RVoG (Random Volume over Ground) model and coherence set.Firstly, this dissertation recapitulates on the theory of PolSAR and InSAR,then the theory of PolInSAR is introduced. Furthermore, the representing of vector coherence scattering models are discussed, especially the theory and property of RVoG model.Secondly, basic theory of coherence set used in the inversion procedure is discussed. After analyzing the parameters inversion in forest area by RVoG model, three detailed inversion algorithms (three-stage method, ESPRIT method and combination of coherence amplitude and phase method) are presented. Then principle of coherence set is introduced in forest parameters inversion. By combining the property of coherence set and the RVoG model, a novel parameters retrieve algorithm is presented.Finally, simulated image and SIR-C (Spaceborne Imaging Radar-C/X-band Synthetic Aperture Radar) image of forestry area are used to validate the proposed algorithm. Performances of every inversion algorithm are compared. Results show that the inversion method used by coherence set presented is valid to a certain extent.