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Multi-baseline vegetation height inversion method and device considering geometric constraints

A geometry-constrained, high-level inversion technology, applied in measurement devices, radio wave reflection/re-radiation, radio wave measurement systems, etc., can solve problems such as unsatisfactory inversion results

Active Publication Date: 2020-11-20
CENT SOUTH UNIV
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Problems solved by technology

Due to various practical factors, different interference pairs may be affected by different error sources during acquisition, but they can still invert the vegetation height, but the inversion effect may not be ideal

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  • Multi-baseline vegetation height inversion method and device considering geometric constraints
  • Multi-baseline vegetation height inversion method and device considering geometric constraints
  • Multi-baseline vegetation height inversion method and device considering geometric constraints

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Embodiment Construction

[0055] The following is a detailed description of the embodiments of the present invention. This embodiment is carried out based on the technical solution of the present invention, and provides detailed implementation methods and specific operation processes to further explain the technical solution of the present invention.

[0056] This embodiment provides a multi-baseline vegetation height retrieval method that takes into account geometric constraints, such as figure 1 described, including the following steps:

[0057] Step S10, obtaining N-scene SAR images related to the covered vegetation area, performing registration, flattening, multi-view and polarization interference processing to form N-1 interference pairs, and each interference pair obtains Q polarization complex coherence coefficients, The general formula of the polarization complex coherence coefficient is expressed as Indicates the interference pair, p=1,2,…,N-1; w indicates the polarization vector, q indicate...

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Abstract

The invention discloses a multi-baseline vegetation height inversion method and device considering geometric constraints, and the method comprises the steps: obtaining a multi-scene SAR image for preprocessing, and obtaining various polarization complex coherence coefficients of a plurality of interference pairs; specifying a main interference pair and a geometric constraint interference pair; specifying an RVoG model as a vegetation height inversion model, constructing an observation equation set by utilizing the polarization complex coherence coefficient of the main interference pair, and calculating a multi-parameter initial value by adopting a three-stage vegetation height inversion algorithm; carrying out linear fitting on the polarization complex coherence coefficient of the geometric constraint interference pair, and constructing geometric constraint conditions related to the vegetation height and the extinction coefficient; and solving unknown parameters including the vegetation height in the observation equation set by using the initial values of the parameters and the geometric constraint conditions and adopting a nonlinear iterative algorithm. According to the method, under the condition that multi-scene SAR images exist, the relation between vegetation parameters and data is converted into geometric constraint conditions, and the vegetation height inversion effect is good.

Description

technical field [0001] The invention relates to the field of vegetation parameter inversion of polarization synthetic aperture radar interferometry (PolInSAR), in particular to a multi-baseline vegetation height inversion method and device in consideration of geometric constraints. Background technique [0002] Forest height is an important indicator for studying the global carbon cycle, the acquisition of the shape of the real "bare earth", and the change of forest stock volume. In recent years, the technology of polarimetric synthetic aperture radar interferometry (PolInSAR) has developed rapidly and has become one of the most widely used technologies for vegetation height retrieval on a large scale or even a global scale. [0003] At present, the most widely used scattering model for vegetation height extraction using PolInSAR technology is the Random Volume over Ground (RVoG) model proposed in 1996. When there are multiple SAR images covering the same area, multiple int...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90
CPCG01S13/90
Inventor 朱建军张兵付海强李志伟胡俊
Owner CENT SOUTH UNIV
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