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Polarimetric Interferometric SAR vegetation height Estimation Methods

Author: WeiShunJun
Tutor: ZhangXiaoLing
School: University of Electronic Science and Technology
Course: Signal and Information Processing
Keywords: Polarimetric SAR interferometry Image registration Scattering mechanisms Vegetation height inversion
CLC: TP72
Type: Master's thesis
Year: 2009
Downloads: 218
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Abstract


Polarimetric SAR interferometry is the effective combination of polarization and interference technology, which combines the advantages of interferometric SAR and polarimetric SAR, the establishment of a multi-polar phase interference quantitative relationship through multi-channel polarization interferometric phase can be significantly improved signal-to-noise ratio and improve the ground level and parameter inversion accuracy. For multi-target complex scenes, polarimetric SAR interferometry using the scattering matrix decomposition technique can achieve a variety of scattering mechanisms phase center separation and different interferometric phase extraction, which offers the possibility to measure the surface topography and vegetation cover estimated vegetation height, Realizes various parameters inversion, ground resources and environmental monitoring. Of polarization interferometric SAR theory as well as the ground vegetation height inversion algorithm to study, work and innovation made as follows: (1) analysis of polarimetric SAR interferometry scattering mechanism characteristics, for different polarizations of polarimetric SAR interferometry state combinations interferometric processing, the interferometric phase to analyze the sensitivity of the vegetation area, the polarization state of a combination of inversion of vegetation parameters with estimates provide some basis. (2) combined the SAR image signal statistical model using subspace projection method to complete the two SAR images of the adaptive fine registration methods: single pixel image vector model-based fine registration algorithm based on the multi-pixel image vector model refined with registration algorithm, the two methods in the case of a pixel error can still get a good registration accuracy, has good robustness of polarization interferometric SAR data provides the basis for accurate feature inversion. (3) study single baseline the-polarization interferometric SAR vegetation height inversion algorithm. First completed conventional interferometer phase difference the law, and Cloude three stage algorithm vegetation height inversion; then combined with the the vegetation body scattering model proposed two vegetation height inversion improved algorithm: combination based on the coherent amplitude and interferometric phase inversion algorithm based polarization interferometric SAR data distribution characteristics of maximum likelihood estimation inversion algorithm. Coherent amplitude and interferometric phase combined inversion precision three-stage inversion algorithm quite, but arithmetic is greatly reduced; maximum likelihood estimation method to take advantage of the data distribution probability function inversion, you can get a better retrieval precision of results. Polarimetric interferometry the SAR simulation data and the ESAR measured data test results verify the effectiveness and benefits of the proposed inversion algorithm. (4) to study the the dual baseline Polarimetric Interferometric SAR vegetation height inversion algorithm. Completed based on coherent the double baseline polarized estimated interference SAR vegetation height inversion algorithm, then presented one of the greatest likelihood estimation dual baseline polarimetric SAR interferometry vegetation height inversion algorithm and interferometric SAR simulation data through multi-baseline polarization parameter inversion results prove the validity and accuracy of the algorithm.

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