An infrared cloud picture cyclone analysis method and an analysis system

An analysis method and analysis system technology, which is applied in the field of infrared cloud image cyclone analysis method and analysis system, can solve the problems of low recognition accuracy and complicated process, and achieve the effect of high recognition accuracy, precise recognition and good matching effect

Active Publication Date: 2019-02-12
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0005] Purpose of the invention: In order to overcome the deficiencies of the prior art, the present invention provides an infrared cloud image cyclone analysis method, which can solve the problems of manual design features, complicated process and low recognition accuracy. The present invention also provides an infrared cloud image cyclone analysis method. analysis system

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  • An infrared cloud picture cyclone analysis method and an analysis system
  • An infrared cloud picture cyclone analysis method and an analysis system
  • An infrared cloud picture cyclone analysis method and an analysis system

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Embodiment Construction

[0043] There are obvious differences in the shape and texture of different types of cyclones at different development stages, so general statistics, clustering and morphological analysis methods are difficult to fully detect the entire development process of cyclones. The invention utilizes the feature that the deep convolutional neural network can automatically learn the characteristics of image data, adopts a multi-task learning mechanism, and simultaneously realizes the automatic identification of different types of cyclones, and also improves the identification accuracy.

[0044] The process of the analysis method of the present invention is as follows figure 1 As shown, it specifically includes the following steps:

[0045] Step 1. Use deep convolutional network to automatically identify and locate cyclones from each cloud image;

[0046] Compared with traditional methods, Convolutional Neural Networks (CNNs) can extract more sufficient semantic information, so they are widely u...

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Abstract

The invention discloses an infrared cloud picture cyclone analysis method, which comprises the following steps of (1) constructing a cyclone system detection network based on an SSD frame of a convolution neural network, and automatically identifying and positioning the cyclone from each cloud picture in a cloud picture data set by the network; 2) carrying out the threshold segmentation on the cyclone by adopting an OTSU threshold segment algorithm, and carrying out the area filtering on the threshold segmentation result to obtain the initial contour of the cyclone; (3) taking the initial contour of the cyclone as input, using a Chan-Vese model to obtain a cyclone boundary of the cyclone; (4) extracting cyclone characteristic points of the cyclone boundary by using the SURF algorithm; (5)using an FLANN matcher to calculate the matching ratio of each characteristic point of cyclone at adjacent time by Euclidean distance, so that the cyclone can be tracked. The invention draws lessons from the MobileNet network and combines the SSD detection frame to construct the cyclone detection network for recognizing the cloud picture, which has high recognition accuracy and is simpler.

Description

Technical field [0001] The invention relates to an image analysis method and system, in particular to an infrared cloud image cyclone analysis method and analysis system. Background technique [0002] Most weather processes are caused by the development of different types of cyclones. Therefore, the accurate identification of cyclone systems is of great significance for weather forecasting, disaster prevention and mitigation. In recent years, with the continuous improvement of the spatial and temporal resolution of satellite sensors, satellite images have gradually increased Become an important means to detect the occurrence and development of cyclone systems. At present, the recognition and analysis of satellite cloud images is still mainly based on manual visual interpretation, which not only requires a lot of manpower and material resources, but is also easily affected by subjective factors. [0003] Using satellite data to automatically identify tropical cyclones has achieved ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/136G06T7/246G06K9/62G06N3/04
CPCG06T7/13G06T7/136G06T7/246G06T2207/30192G06T2207/10048G06T2207/20081G06T2207/20084G06N3/045G06F18/22G06F18/24G06F18/214
Inventor 刘青山张芮杭仁龙
Owner NANJING UNIV OF INFORMATION SCI & TECH
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