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Data processing method of synthetic aperture radar ocean wind-field retrieval variation model

A technology of synthetic aperture radar and sea surface wind field, applied in the field of information, can solve problems such as time-consuming, large amount of calculation, restricting practicability, etc., and achieve the effect of improving calculation efficiency and speeding up the solution speed.

Inactive Publication Date: 2017-03-22
中央军委联合参谋部大气环境研究所 +1
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Problems solved by technology

[0064] The disadvantage of MCVar is that it is necessary to obtain up to 2000 J(u,v) solutions first, and then compare them one by one to obtain the optimal solution.
Although the number of iterations is less than that of the enumeration method, the amount of calculation is still very large, which is quite time-consuming
[0065] It can be seen that although the current scholars have proposed a new idea of ​​using the variational model to invert the SAR sea surface wind field, the problem of the slow solution speed of the variational model restricts its practicality

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[0115] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0116] The embodiment of the present invention proposes a data processing method for synthetic aperture radar inversion sea surface wind field variational model, through Taylor expansion, linearized cost function, based on Armijo inexact line search technology, iteratively finds the minimum cost function The fast solution method (referred to as ArVar) improves the calculation efficiency.

[0117] (A) ArVar theory derivation

[0118] Since the second order derivative (Hesse matrix) of J(v) is continuous, the above formula (1) can be obtained at v B Perform Taylor expansion at and keep the first three terms, namely

[0119]

[0120] Find its stable point, we can get

[0121]

[0122] assumed is a non-singular matrix, the iterative formula can be...

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Abstract

The invention provides a data processing method of a synthetic aperture radar ocean wind-field retrieval variation model. Aiming at the problem that the EnVar and MCVar variation model process is high in the operand and is time consuming in the prior art, by means of taylor expansion and linearization cost function and based on Armijo inexact line search technique, the data processing method of a synthetic aperture radar ocean wind-field retrieval variation model can realize a rapid solution of using iteration to solve minimum of the cost function, thus improving the operation time efficiency.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a data processing method for inverting a variational model of a sea surface wind field by a synthetic aperture radar. Background technique [0002] Sea surface wind field data play a very important role in meteorological forecasts, ocean wave forecasts, long-term changes in atmospheric and ocean current systems, and the development and application of marine resources; A hot issue. In the prior art, the method of inverting the sea surface wind field by synthetic aperture radar is generally used, and its advantages are mainly reflected in the following aspects: [0003] (1) High spatial resolution: Modern high-tech warfare puts forward higher requirements for refined sea surface wind field. The spatial resolution of synthetic aperture radar is tens of meters or even several meters, which is much higher than that of scatterometer and radiometer, so it is more suitable for Nea...

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Application Information

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IPC IPC(8): G01S13/95G01S13/90
CPCG01S13/90G01S13/95G01S13/9027
Inventor 姜祝辉刘强陈洪滨黄思训邓冰李元祥赵增亮李鲲刘娟刘茜金宝刚李琳
Owner 中央军委联合参谋部大气环境研究所
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