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Temperature field data reconstruction method

A technology of data reconstruction and temperature field, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of accuracy affecting the image quality of temperature field, save running time, improve computing efficiency, reconstruct The effect of low error

Active Publication Date: 2018-05-15
EAST CHINA JIAOTONG UNIVERSITY
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Problems solved by technology

However, the application of compressive sensing theory to image reconstruction needs to meet the restricted isometric characteristics, and its accuracy will seriously affect the quality of the reconstructed temperature field image

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Embodiment Construction

[0062] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0063] The invention relates to a temperature field data reconstruction method. Various aspects of the present invention include: acquiring a temperature field data matrix; randomly sampling the temperature field data matrix; filling the temperature field data matrix based on the sampled data to reconstruct the temperature field data. Before performing random sampling on the temperature field data matrix, for example, a singular value decomposition algorithm (singular value decomposition, SVD) may be used to perform rank reduction processing on the original matrix. A singular value threshold algor...

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Abstract

Provided is a temperature field data reconstruction method. The temperature field data reconstruction method includes the steps of 1, obtaining a temperature field data matrix; 2, conducting random sampling on the temperature field data matrix; 3, on the basis of sample data, filling the temperature field data matrix to reconstruct temperature field data. Before random sampling is conducted on thetemperature field data matrix, rank reduction processing can be conducted on an original matrix by adopting such a singular value decomposition algorithm. A singular value threshold algorithm or a singular value projection algorithm can be adopted to fill the temperature field data matrix on the basis of the simple data to reconstruct the temperature field data. By the adoption of the temperaturefield data reconstruction method and a computer readable storage medium, the problem is solved that in traditional methods, only mathematic relations among stations or correlations among locals are taken into consideration; therefore, global temperature field data can be recovered by using little temperature field station data; at the same time, reconstruction errors are low, the signal-to-noiseratio is extremely high, and not only is a traditional interpolation method overcome, but also data storage space can be saved.

Description

technical field [0001] The invention relates to a data processing method in the field of meteorology, and more specifically, to a method for reconstructing temperature field data. Background technique [0002] With the advent of the era of big data, people have higher and higher requirements for the quality of life and the accuracy of weather forecasts. However, due to insufficient or damaged sensors, improper storage of weather data, and equipment conditions are affected The temperature field data is missing and incomplete due to many problems such as the limit. How to obtain accurate temperature field information has become an urgent problem to be solved. [0003] In order to obtain more accurate temperature field data outside the site, different scholars have proposed different spatial interpolation methods. The most common method is the bilinear interpolation algorithm, which has a simple process and easy calculation results; the inverse distance ratio method proposed ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/215
Inventor 王杉单会玲胡建辉
Owner EAST CHINA JIAOTONG UNIVERSITY
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