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Visibility measuring method based on image study

A measurement method and visibility technology, applied in measurement devices, scientific instruments, material analysis by optical means, etc., can solve problems such as the lack of mature and practical meteorological visibility measurement methods, and achieve good results

Inactive Publication Date: 2012-06-20
郝红卫 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For common scenes in common dust work, such as buildings, lawns, squares, etc., using image information to calculate visibility, there are no reports on mature and practical meteorological visibility measurement methods at home and abroad

Method used

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  • Visibility measuring method based on image study
  • Visibility measuring method based on image study
  • Visibility measuring method based on image study

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] The scene of image collection is the Yizhuang Bridge next to the meteorological observation station in the southern suburbs of Beijing, such as figure 2 As shown, (a), (b), (c), and (d) represent the images in the morning, evening, sunny day, and foggy time, respectively. The images were taken in November and December 2010 and January 2011.

[0071] Intercept the fixed target in the image and convert it to grayscale, the image is as follows image 3 (a), (b), (c), and (d) represent the target images in the morning, evening, sunny, and foggy conditions, respectively. Objects in the image include chimneys, street lamps and the roofs of two buildings. According to the time sequence, the experiment tested the daytime images of each day from December 23, 2010 to January 6, 2011. The image data before the test date were taken as training samples, and the visibility value was calculated using the SVR method.

[0072] Table 1 Results of the 15-day Yizhuang Bridge Target Map...

Embodiment 2

[0076] Same as the example 1 images, the images from November and December 2010 are used for training, the images from January 1 to 6, 2011 are used for testing, and the data images on January 2 are removed. The training data does not include January data, and the results are shown in the following table:

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Abstract

The invention discloses a visibility measuring method based on image study, which includes preprocessing a scene image shot by an existing camera, extracting local contrast fitting human eye vision characteristics in the image to use the local contrast as image characteristics for machine learning, proving training data, removing large-error values in the training data, and resetting up a model. Current visibility value is automatically calculated through one scene image. Errors caused by noise of a transmission channel in the image and the like and deviation in the study training data are considered in the method, so that accuracy of visibility measuring results is improved. The visibility measuring method is applicable to real-time measurement of meteorological visibility under any weather conditions (fogging, raining, snowing, dust blowing and the like), and is applicable to places such as roads, meteorological stations and the like requiring visibility monitoring.

Description

technical field [0001] The invention relates to a meteorological visibility measurement method, in particular to an automatic visibility measurement method based on image learning. Background technique [0002] Visibility is one of the main items of meteorological observation, and its accurate measurement is very important for transportation such as aviation, navigation and highways. In recent years, with the continuous enhancement of the country's overall economic strength, the number of motor vehicles has increased sharply, the transportation has developed rapidly, and the number of traffic accidents and casualties has increased sharply. Due to weather conditions such as fog, snow and haze, the visibility on expressways is generally low, and large traffic accidents such as rear-end collisions and serial collisions are more likely to occur. my country has basically built a relatively complete expressway network. By the end of 2010, the mileage of expressways in China reach...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G01N21/84
Inventor 郝红卫殷绪成
Owner 郝红卫
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