Construction and inversion method for vegetation height inversion model based on second-order Fourier-Legendre polynomial
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A highly inversion, polynomial technology, applied in the direction of reflection/re-radiation of radio waves, utilization of re-radiation, measurement devices, etc. effect achieved
Active Publication Date: 2019-05-10
CENT SOUTH UNIV
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Whether the PCT technology can successfully retrieve the vertical structure information of the vegetation cover depends on whether the prior information of the vegetation height and the surface phase parameters are accurate. Poor accuracy of the prior information will directly lead to poor final inversion results or even inversion failure.
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Embodiment 1
[0062] The construction method of the vegetation height inversion model based on the second-order Fourier-Legendre polynomial of the present embodiment 1, the specific steps are as follows:
[0064] The full-polarization SAR image based on the vertical structure of the vegetation cover was obtained, and the number 0103 image was the main image, and the number 0107, 0109, and 0111 images were the auxiliary images, which constituted three interferometric baselines. SAR image registration, flat ground effect removal, multi-view processing (azimuth direction 2: distance direction 1) and polarization interference, and then obtain the complex coherence coefficient corresponding to the polarization mode Where p=x, y, m represent different interference baselines, and q=1, 2,..., n represent different polarization modes.
[0065] In this embodiment, each baseline adopts two coherent optimal polarization modes with maximum phase...
Embodiment 2
[0084]This embodiment is based on the establishment of a second-order Fourier-Legendre polynomial based on providing a second-order Fourier-Legendre polynomial multi-baseline multi-polarization vegetation height inversion model, providing a second-order Fourier-Legendre polynomial vegetation Highly inversion methods such as figure 1 shown, including the following steps:
[0085] Step X10, establishing a vegetation height inversion model;
[0086] Using the multi-baseline and multi-polarization vegetation height inversion model established in the above embodiment 1, press e again ix =cosx+isinx transforms the model, and then splits the real part and imaginary part of the model to obtain the observation equations corresponding to the model:
[0087]
[0088] In step X20, the initial value of the vegetation parameter is determined.
[0089] The main purpose of this step is to obtain the initial value of the vegetation parameters of the multi-baseline multi-polarization vege...
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Abstract
The invention discloses a construction and inversion method for a vegetation height inversion model based on a second-order Fourier-Legendre polynomial. According to the construction method, first, anSAR image of a vegetation coverage vertical structure is acquired, polarization interference processing is performed, and a polarization multiple correlation coefficient gamma(omega) is generated; second, the vegetation coverage vertical structure corresponding to the SAR image is expressed into the second-order Fourier-Legendre polynomial; and last, the polarization multiple correlation coefficient gamma(omega) is used as an observation value to establish the vegetation height inversion model based on the second-order Fourier-Legendre polynomial on the basis of Fourier-Legendre coefficientsa<00>, a<10> and a<20>, vegetation height h<v> and surface elevation h<g>. According to the vegetation height inversion model in the scheme, vegetation height, surface elevation and the Fourier-Legendre coefficients used for expressing the vegetation coverage vertical structure are organically combined into the same function equation to serve as model parameters, and the vegetation height inversion model is established, so that the modeling process is simple and clear, and implementation is easy.
Description
technical field [0001] The invention relates to the field of vegetation height inversion of polarimetric interferometric synthetic aperture radar (PolInSAR), in particular to a construction and inversion method of a vegetation height inversion model based on second-order Fourier-Legendre polynomials. Background technique [0002] The forest ecosystem is the ecosystem with the highest biomass on land and has a decisive impact on the terrestrial ecological environment. The vegetation height parameter is one of the important parameters for forest ecological analysis, forest energy law exploration, and global carbon cycle research, which can provide powerful information support for forest evolution, biomass storage, and climate regulation. In recent years, the vegetation height retrieval method based on Polarimetric SAR Interferometry (PolInSAR) has been greatly developed. PolInSAR technology extracts vegetation height by identifying different scatterers in the same resolution ...
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