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Method for fusing typhoon cloud pictures based on NSCT (Nonsubsampled Controurlet Transformation) and particle swarm optimization algorithm

A technology of particle swarm optimization and particle swarm algorithm, applied in computing, image enhancement, image data processing, etc., can solve problems such as time-consuming and large amount of data calculation

Inactive Publication Date: 2012-09-26
ZHEJIANG NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, the non-sampled CONTOURLET transform requires a large amount of data calculation and takes a lot of time. Therefore, it will be the future to study the fast implementation method of the non-sampled CONTOURLET transform and how to formulate effective fusion rules according to the characteristics of the non-sampled CONTOURLET transform coefficients and image characteristics. research focus

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  • Method for fusing typhoon cloud pictures based on NSCT (Nonsubsampled Controurlet Transformation) and particle swarm optimization algorithm
  • Method for fusing typhoon cloud pictures based on NSCT (Nonsubsampled Controurlet Transformation) and particle swarm optimization algorithm
  • Method for fusing typhoon cloud pictures based on NSCT (Nonsubsampled Controurlet Transformation) and particle swarm optimization algorithm

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Experimental program
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Embodiment 1

[0065] like figure 2 As shown in the figure, we selected some intercepted images from the satellite cloud image infrared channel 1 and visible light typhoon cloud image sent back by China Fengyun-2C satellite at 6:00 on August 16, 2007 (Beijing time) as the original image for fusion. deal with. It was processed into digital images by MATLAB 7.0, all of size 200 × 200 pixels. Each pixel is numerically represented by its brightness. The larger the number, the brighter the point and the more white it appears.

[0066]We perform non-sampling CONTOURLET transformation on typhoon cloud map A and typhoon cloud map B respectively. In the decomposition process of the steps, the vector is decomposed into three layers by non-sampling Contourlet transformation, and the number of directions corresponding to each layer is {0, 2, 4}. The filter adopts cone filter directional filter bank.

[0067] Finally, the low-frequency and high-frequency transformation coefficients of the correspond...

Embodiment 2

[0081] like Figure 5 As shown, in order to further illustrate the effectiveness of the algorithm of the present invention, the present invention will do another set of experiments. The source images of the experiment were obtained from the partial intercepted images of the infrared channel 2 typhoon images and the visible light typhoon images sent by the China Fengyun-2C satellite at 4:30 on August 16, 2007 (Beijing time). The size is all 200×200 pixels. Similarly, in order to objectively evaluate the fusion effect of the above images, we still calculate the joint entropy, average correlation coefficient, average gradient and peak signal-to-noise ratio for the fused images. and in-depth analysis of these parameters. The specific relevant data are as follows:

[0082] like Image 6 As shown, taking the decomposition of the first direction of the second layer of the satellite cloud image infrared channel 1 wind cloud image as an example,

[0083] Normalized information ent...

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Abstract

The invention provides a method for fusing typhoon cloud pictures based on NSCT (Nonsubsampled Controurlet Transformation) and a particle swarm optimization algorithm, comprising the following steps of: respectively fusing low-frequency and high-frequency coefficients of the multi-channel typhoon cloud pictures after the NSCT; and then performing the invert transformation of the NSCT, in particular synchronously considering the influences of parameters, such as information entropy (E), average gradient (G) and signal-to-noise ratio (S), when processing the high-frequency coefficients, whereinthe typhoon eye and cloud system detail information can be clearly kept on the fused pictures. By utilizing the technical scheme of the invention, the fusion of the multi-channel typhoon cloud pictures can be greatly realized, useful information of each channel can be completely fused, the details of each channel can be maximally kept, and the great robustness, i.e. anti-interference performance,on noise is provided. The method has better abundant degree on the picture information compared with the traditional picture fusion method, can keep the definition of the pictures after the fusion, and greatly helps the following work of the fused pictures.

Description

technical field [0001] The invention belongs to the field of meteorological prediction. Specifically, it relates to a typhoon cloud image fusion method based on non-subsampling Contourlet transform and particle swarm optimization (PSO) algorithm for the purpose of improving typhoon center positioning accuracy. Background technique [0002] my country is a country seriously affected by typhoon disasters. The determination of the location of the typhoon center is an important link in the analysis and forecast of typhoon, and it is also one of the most concerned and urgent problems in our country's current business. Determination of typhoon center position by aircraft and radar is limited by various conditions and detection distances. The satellite can observe the whole picture of the typhoon, which is more conducive to determining the center of the typhoon. At present, the typhoon positioning methods based on satellite cloud images used at home and abroad are mainly based on...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50G01W1/10
Inventor 张长江张翔
Owner ZHEJIANG NORMAL UNIVERSITY
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