Study. Polinsar Surface Parameters Inversion Method

Polarimetric SAR interferometry (PolInSAR) is the technique that integrates radar polarimetry and radar interferometry. The interferometric analysis of a full coherent polarimetric data set enables the combination of final structure properties and spatial information of the targets. PolInSAR is a potential technique that not only improves the accuracy of the interferometric measurements but also allows a more sophisticated physical interpretation of scattering mechanism. With lots of advantages in many areas of military, civil and scientific researches, PolInSAR has extented the applications of SAR remote sensing, and has wide and latent prospective applications and valuable researching aspects.PolInSAR has been used to invert vegetation parameters of terrain surface, especially for height of forest. These parameters are the bases of terrain classification and target detection and recognition. Therefore, terrain surface vegetation parameters inversion using PolInSAR data has been hot research topics in polarimetric interferometry in recent years.The dissertation mainly analyses and studies the established terrain surface vegetation parameters inversion methods for PolInSAR, on basis of these methods, the dissertation proposes a fast and robust vegetation height inversion method. The main contents include Polarimetric Interferometric Phase Coherence Optimization(PIPCO); Random Volume over Ground (RVoG) coherence scattering model and corresponding inversion model; single baseline vegetation height inversion method; vegetation height inversion method based on the fusion of DEM differencing algorithm and Coherence Amplitude algorithm; Polarimetric Coherence Tomography algorithm.Firstly, this dissertation provides an overview of basic theory of PolSAR, such as representation of polarimetric scattering characters of targets and elementary scattering mechanisms. Then the calculation of complex coherence coefficient and the theory of PIPCO for PolInSAR are discussed comprehensively. Furthermore, the theory of PIPCO is validated by simulated data.Secondly, coherence scattering models are studied. The study is focused on the RVoG scattering model and corresponding inversion model. The influences upon coherence of all the parameters in the model are discussed.Thirdly, after in-depth discussion of theory of PolInSAR, two existed and classical single baseline inversion methods (the Three-Stage method and the ESPRIT algorithm) are studied, on the basis of it, an improved ESPRIT algorithm is studies, and a hybird vegetation height inversion method based on the ESPRIT algorithm and Coherence Amplitude method is proposed. these methods are validated by simulated data and the performance of them is compared.For the questions of exist in the Three-Stage method and the ESPRIT algorithm, the dissertation proposes a kind of inversion method based on the fusion of DEM differencing algorithm and Coherence Amplitude method, the principles of it are discussed comprehensively, and the simulated PolInSAR data are used to validate the proposed method.Finally, the dissertation analyses and studies PCT algorithm, and the simulated data are used to validate this algorithm.