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

A fuzzy clustering and preprocessing technology, applied in image data processing, processor architecture/configuration, image analysis, etc., can solve the problem of poor real-time performance of cloud trace wind inversion, long cloud trace wind inversion time, and influence by environmental factors to improve the efficiency of wind vector calculation, improve the accuracy of segmentation, and improve the effect of inversion

A fuzzy clustering and preprocessing technology, applied in image data processing, processor architecture/configuration, image analysis, etc., can solve the problem of poor real-time performance of cloud trace wind inversion, long cloud trace wind inversion time, and influence by environmental factors to improve the efficiency of wind vector calculation, improve the accuracy of segmentation, and improve the effect of inversion

CN106340004AInactive Publication Date: 2017-01-18JILIN UNIV
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  • Fuzzy clustering preprocessing cloud system-based parallel cloud drift wind inversion method
  • Fuzzy clustering preprocessing cloud system-based parallel cloud drift wind inversion method
  • Fuzzy clustering preprocessing cloud system-based parallel cloud drift wind inversion method

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Embodiment Construction

[0048] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0049] Such as Figure 1 ~ Figure 4 As shown, the present invention provides a parallel cloud trace wind inversion method based on fuzzy clustering preprocessing cloud system, comprising the following steps:

[0050] Step 1. Use three adjacent infrared channel cloud images with equal time intervals to set the inversion parameters, including the reading path of the satellite remote sensing data on the disk, the density of the cloud trail wind retrieval, and the parameters related to the cloud trail wind retrieval algorithm , GPU parallel parameters, cloud trace wind verification strength parameters, cloud trace wind inversion product storage path on disk, etc.;

[0051] Step 2, using a lossless decompression algorithm to decompress the earth remote sensing data downloaded fro...

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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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Application Information

Patent Timeline
18 Jan 2017
Publication
CN106340004A
IPC
G06T7/00; G06T1/20; G06T5/00
CPC
G06T1/20; G06T5/00; G06T2207/10032; G06T2207/20032
Inventors
何丽莉; 白洪涛