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Typhoon center positioning method based on embedded type concealed Markov model and cross entropy

A hidden Markov and central positioning technology, applied in image data processing, instruments, computing, etc., can solve the problems of not considering the development process of typhoons from generation to extinction, small amount of information utilization, unsatisfactory versatility, etc., to achieve The effect of expanding information utilization, improving versatility, and reducing model training time

Inactive Publication Date: 2006-09-06
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

The common disadvantages of the above methods are poor adaptability and unsatisfactory versatility, and the positioning method adopted cannot meet all types of typhoons in all periods
In addition, most of the methods are based on a single cloud image rather than a sequence cloud image, the amount of information utilization is small, and it does not take into account that the typhoon itself has a development process from generation to extinction

Method used

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  • Typhoon center positioning method based on embedded type concealed Markov model and cross entropy
  • Typhoon center positioning method based on embedded type concealed Markov model and cross entropy
  • Typhoon center positioning method based on embedded type concealed Markov model and cross entropy

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Embodiment Construction

[0054] No matter how the typhoon changes during its movement, the wind speed at the center of the typhoon is the smallest and the movement is the weakest, which is no exception for any type of typhoon. In addition, typhoon has a change process from birth to extinction, and its movement information exists in the time series cloud map of typhoon. The invention takes the differential cloud images of time series satellite cloud images as the research object, and proposes a set of typhoon center positioning method with strong versatility, which mainly includes the following steps:

[0055] (1) Generate a differential cloud image sequence from the time series of the cloud image, and perform wavelet transformation on the differential cloud image, and use the wavelet domain as the underlying data source and information extraction source;

[0056](2) According to the spatial correlation of the typhoon difference cloud image, the embedded hidden Markov model is used to realize the adapt...

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Abstract

The presented method comprises: (1) with satellite cloud chart sequence, generating the differential cloud chart sequence for wavelet transformation to select wavelet domain as the bottom data source and information extraction source; (2) according to the space correlation, taking adaptive state block division with EHMM to the target; (3) according to the time correlation, dynamic tracking and scaling motion energy with the cross entropy; (4) constructing the energy function to primary find out the typhoon center by the least energy value on the low-resolution layer. This invention has strong versatility and high location precision.

Description

technical field [0001] The invention relates to a typhoon center positioning method, which belongs to the field of weather forecasting. Background technique [0002] According to whether there is a typhoon eye in the typhoon cloud image, the positioning methods can be divided into typhoon with eye and typhoon center without eye. [0003] A typhoon with an eye has an obvious typhoon eye, which is reflected on the satellite cloud image, and there is a darker area in a high-brightness cloud area. Due to the obvious features of the eye area, positioning is relatively easy. However, the eye of a typhoon usually occurs during the mature period of the typhoon, when the best time to forecast the typhoon has been lost. [0004] Eyeless typhoon, that is, a typhoon whose eye area cannot be seen in the cloud image. There are two typical situations. One is when the typhoon is in the period of generation and decline, the typhoon has no eye area; the other is that the eye area is blocke...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00G01W1/00
Inventor 王萍王丽军
Owner TIANJIN UNIV
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