Tetrolet transform-based multichannel satellite cloud picture fusing method

A satellite cloud image and fusion method technology, applied in the field of multi-channel satellite cloud image fusion, can solve problems such as unfavorable reflection of observation targets, different data information, and different image imaging principles.

Active Publication Date: 2014-04-02
金华灵息智能科技有限公司
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the imaging principles of each channel are different, and the data information obtained is also different. The information obtained from the satellite cloud image of a single channel has certain limitations, which is not conducive to reflecting the characteristics of the observation target

Method used

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  • Tetrolet transform-based multichannel satellite cloud picture fusing method
  • Tetrolet transform-based multichannel satellite cloud picture fusing method
  • Tetrolet transform-based multichannel satellite cloud picture fusing method

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Experimental program
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Effect test

Embodiment 1

[0106] like image 3 As shown, we selected the infrared 2-channel and water-air channel cloud images from Typhoon "Weipa" in 2007 as the original image for fusion processing. It is processed into a grayscale image by MATLAB7.0, all from figure 2 The fused experimental image of 512×512 pixels is intercepted from this type of satellite cloud image with a size of 2288×2288. Each pixel represents its brightness digitally. The larger the number, the brighter the point, and the whiter it appears.

[0107] We respectively perform Tetrolet transformation on the two cloud images to be fused, and the number of decomposition layers in the decomposition process of the steps is two. In order to verify the effectiveness of the fusion algorithm proposed by the present invention, the fusion result of the method of the present invention is combined with the Laplacian pyramid image fusion method, the classic discrete orthogonal wavelet image fusion method, and the Contourlet image fusion me...

Embodiment 2

[0126] like Figure 7 As shown, we selected the infrared channel 1 and water vapor channel cloud images from the typhoon "Hagupit" at 06:00 on September 19, 2008 as the original image for fusion processing. Its infrared channel 1 and water vapor channel cloud picture is as follows Figure 7 (a) and Figure 7 (b) shown. right Figure 7 (a) and Figure 7 (b) Perform histogram equalization processing respectively to get Figure 7 (c) and Figure 7 (d). Figure 7 (e) Fusion result of Laplacian pyramid, Figure 7 (f) is the fusion result of classical discrete orthogonal wavelet, Figure 7 (g) is the fusion result of the Contourlet image fusion method, Figure 7 (h) is the fusion result of the Curvelet image fusion method, Figure 7 (i) is the fusion result of the NSCT image fusion method, Figure 7 (j) is the fusion result of the Shearlet image fusion method, Figure 7 (k) is the fusion result of the fusion algorithm of the present invention. because Figure 7 The cen...

Embodiment 3

[0137] In order to further illustrate the effectiveness of the fusion algorithm proposed by the present invention, the computational complexity of the method proposed by the present invention is analyzed below. Here, the running time of various fusion methods is measured, and the second set of experimental images is used for testing. The running time of various fusion algorithms is shown in Table 5.

[0138] Table 5 Running time of various fusion algorithms

[0139]

[0140] As can be seen from Table 5, except that the running time of the image fusion algorithm based on Laplacian pyramid and the image fusion algorithm of classic orthogonal discrete wavelet is relatively short, the running time of the image fusion algorithm proposed by the present invention and the Curvelet image fusion algorithm Quite, it takes less time than Contourlet image fusion algorithm, NSCT image fusion algorithm and Shearlet image fusion algorithm. Therefore, the calculation complexity of the fusi...

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Abstract

The invention aims to provide a Tetrolet transform-based multichannel satellite cloud picture fusing method, which comprises the following steps of respectively performing image histogram equalization processing on multichannel cloud pictures to be fused, and respectively performing Tetrolet transform to obtain a low frequency coefficient, a high frequency coefficient and mosaic coverage values corresponding to the low frequency coefficient and the high frequency coefficient; in a low frequency part of a Tetrolet domain, decomposing again by using a Laplacian pyramid, taking a mean value for a top layer, and reconstructing after taking large parts of grey absolute values of other layers; in a high frequency part of the Tetrolet domain, taking a larger part of high frequency coefficient standard deviation in each image mosaic, and taking corresponding values as the mosaic coverage values; obtaining a final fused image through Tetrolet inverse transformation. Experimental results show that the method can be well used for fusing multichannel cloud pictures, the fused image is good in visual effect and can clearly retain typhoon eye and cloud system detail information, a typhoon center is positioned at high accuracy by using a fused result, and the method is suitable for typhoons with eyes and non-eye typhoons.

Description

technical field [0001] The invention belongs to the field of meteorological prediction. Specifically, it involves a multi-channel satellite cloud image fusion method based on Tetrolet transform for the purpose of improving the typhoon center positioning accuracy. Background technique [0002] Meteorological satellite cloud images play an extremely important role in weather monitoring and forecasting and atmospheric environment detection, especially in the monitoring of some natural disasters. Therefore, the follow-up analysis and processing of satellite cloud images can better obtain information such as the atmosphere, land, ocean, and clouds, provide reliable data support for monitoring and forecasting, and improve the automation and accuracy of forecasting, which has important practical significance. [0003] my country's Fengyun-2 satellite receives visible light, infrared and water vapor radiation from the earth through a scanning radiometer with a visible light channel...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/50
Inventor 张长江陈源
Owner 金华灵息智能科技有限公司
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