Polarimetric Interferometric SAR Vegetation Height Estimation Method

Polarimetric interferometry SAR is new remote sensing technology which combines effectively information of interferometry technology and polarimetric, it comprehensives the all advantages of interferometry SAR and polarization SAR. Through multi-channel polarimetric comprehensive technology and set up the quantitative relationship of the interferometry phase for multi-polarization, polarimetric interferometry SAR can obviously improve the signal-to-noise ratio of interferometry phase and the parameter inversion precision of ground height. For the complicated scene that having many different goals, polarimetric interferometry SAR can separate the interferometry phase center of multiple scattering mechanism and extract different polarimetric interferometry phase by scattering matrix decomposition technique. So polarimetric interferometry SAR provides the possibility for measurement of the surface vegetation cover terrain and estimate vegetation height. By realizing the inversion of various parameters, polarimetric interferometry SAR is of great significance to the ground floor resources and environment monitoring.In the paper, we studied the basic theories of polarimetric interferometry SAR and inversion algorithms of ground vegetation height. This paper mainly work and innovation of are as follows:(1) First, we analysis the characteristics of the scattering mechanism for polarimetric interferometry SAR. For the different polarimetric interferometry phase of polarimetric interferometry SAR, we analysis of their sensitivity for vegetation regional using the interferometry phase. The characteristics of different sensitivity provides certain basis for the polarization state combination selection to vegetation parameter inversion and estimate.(2) Based on subspace projection method ,we completed the adaptive SAR images registration algorithm. Combined with the statistical model of interferometry SAR, we using signal subspace projection method to finish two SAR image adaptive refined registration method: adaptive SAR image registration algorithm based on the combination of single pixel model and adaptive image registration algorithm based on pure flat terrain model. both method can get good registration precision even if in a pixel error conditions. So the two adaptive SAR images registration algorithm have good robustness.(3) Some vegetation parameter inversion algorithms are researched in single-baseline polarimetric interferometry SAR. First, we finish the traditional interferometry phase difference method for vegetation height inversion and the Cloude three stage method for vegetation height inversion. Combined with the vegetation volume scattering modal we presented two vegetation height inversion methods: based on coherent amplitude and phase vegetation height inversion algorithm and based on maximum likelihood estimation inversion algorithm for polarimetric interferometry SAR data distribution.(4) Finaly, we Study some vegetation parameter inversion algorithms of double-baseline polarimetric interferometry SAR. First we finished polarimetric coherent estimate method for double-baseline polarimetric interferometry SAR vegetation height inversion algorithm, and then proposes a maximum likelihood estimation of double-baseline polarimetric interferometry SAR vegetation height inversion algorithm.