极化干涉SAR植被参数估计方法研究-信号与信息处理专业论文.docxVIP

ABSTRACTABSTRACT ABSTRACT ABSTRACT Polarimetric interferometric SAR integrates all advantages of interferometry SAR and polarization SAR，which reflects the physical characteristics and spatial distribution properties of targets，SO it greatly expands the SAR applications in the field of microwave remote sensing．Through multi—polarimetrie SAR data and the correlation matrix eigen—decomposition technique，polarization interference technique can significantly improve the accuracy of the surface parameters inversion，SO it provides the possibility for the extraction of high-precision di西tal elevation information．By retrieving the vegetation parameters，Polarimetric interferometrie SAR is of great significance to the forest resource management and environmental monitoring． This paper mainly studies polarimetric interferometrie SAR inversion algorithms of ground vegetation height，while detailed discusses polarization coherence tomography(PCT)algorithm．The mainly work and innovation of this paper ale as follows： (1)Analysis the characteristics of the scattering mechanism for different polarimetry and their sensitivities for vegetation regional；Research the optimal polarization interference coherence coefficient algorithm，and the real data demonstrates the algorithm can obtain the separation of scattering mechanisms on surface target． (2)Research polarimetric interferometric SAR scattering phase center estimation． First of all，introduce polarimetric interferometrie SAR coherent scattering model and analysis different parameters on the impact of coherence；Then study the scattering phase estimation based on ESPRIT algorithm，which Can obtain accurate phase estimation of vegetation layer and ground surface；Finally,research the interferometric phase compensation method using optimal volume coherent coefficient，which succeeds reducing interferometric phase error which is brought by the vegetation layer attenuation． (3)Research vegetation parameter inversion algorithms of polarim