Fuzzy clustering preprocessing cloud system-based parallel cloud drift wind inversion method

Abstract

The invention discloses a fuzzy clustering preprocessing cloud system-based parallel cloud drift wind inversion method. According to the method, three adjacent equal-time interval cloud charts are selected; image extraction and preprocessing are carried out on the images of the cloud charts; each cloud chart is divided into a plurality of tracking blocks; the tracking blocks are assigned to a plurality of designated parallel computing processing units; and inversion calculation is performed on the wind vector of the corresponding tracking block is each independent computing processing unit through using a maximum correlation coefficient method, so that the wind speed and wind direction of the wind vector of the tracking block can be obtained. With the method of the invention adopted, the actual execution efficiency of the inversion of cloud drift wind can be improved effectively. The method is of great application value for the prediction and early warning of global wind fields at low, medium and high altitudes.

Description

technical field [0001] The invention relates to the field of satellite cloud trace wind inversion, in particular to a parallel cloud trace wind inversion method based on fuzzy clustering preprocessing cloud system. Background technique [0002] In the study of weather and disaster forecast, a large amount of wind field data is needed, and the observation of global atmospheric wind field has played a very active role. In recent years, with the continuous improvement of the network of land wind field observation stations, it has become easier for researchers to obtain land wind field data. However, compared with land wind field data, the observation networks in oceans, plateaus, deserts and other regions are very insufficient, and it is difficult to obtain wind field data in these areas. The inversion of atmospheric wind field through satellite cloud image data undoubtedly plays a very beneficial supplementary role in obtaining global atmospheric wind field data. [0003] At...

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Problems solved by technology

[0007] The present invention has designed and developed a parallel cloud trail wind inversion method based on fuzzy clustering preprocessing cloud system. One of the purposes of the present invention is to solve the cloud trail caused by more iterations in the serial cloud trail wind inversion method. For the problem of long wind retrieval time and poor real-time performance, a single iteration is parallelized through the parallel inversion method to reduce the number of iterations, thereby significantly improving the real-time performance of cloud trace wind retrieval

[0008] The second object of the present invention is to solve the problem of poor real-time cloud trace wind inversion caused by too long search time for the target cloud block in the specified search area. By optimizing the tracking method of the tracer cloud block, greatly simplify the The search time of the target cloud block in the search area, thereby significantly improving the real-time performance of cloud trace wind inversion

[0009] The third object of the present invention is to solve the problem that in the prior art, only the image hard segmentation method is used for the cloud image preprocessing that needs to be inverted, and then it is difficult to obtain a suitable threshold in the image preprocessing process, and it is affected by the environment. Influenced by factors, the accuracy is difficult to guarantee

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