Weather identifying method based on dynamic scene perception

A weather recognition and dynamic scene technology, applied in the field of weather recognition based on dynamic scene perception, can solve problems such as reducing the weather recognition rate

Active Publication Date: 2016-08-17
CHONGQING UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the existing technical problem of using global features or local feature information for weather recognition, which leads to the reduction of weather recognition rate, and to provide a weather recognition method based on dynamic scene perception

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  • Weather identifying method based on dynamic scene perception
  • Weather identifying method based on dynamic scene perception
  • Weather identifying method based on dynamic scene perception

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Embodiment Construction

[0031] In order to better understand the technical solution of the present invention, the implementation of the present invention will be further described below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following examples.

[0032] The image database in the dynamic sky scene training set of this embodiment is collected in real time by the photoelectric tracking system. There are 125 images on sunny days with clouds, 90 images on sunny days, 153 images on slightly sunny days, 269 images on heavily cloudy days, 116 images on moderately cloudy days, and 116 images on slightly cloudy days. There are 167 pictures, 156 pictures in heavy fog, 156 pictures in moderate fog, and 101 pictures in light fog, respectively marked with numbers 1-9, totaling 1333 pictures. The photoelectric tracking system images flying targets of different models and sizes under 9 types of weather, and selects some scene images such ...

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Abstract

The invention relates to a weather identifying method based on dynamic scene perception. The weather identifying method comprises the following steps of: analyzing imaging difference of a dynamic sky scene object and background under different weather conditions, and determining positions of an object region and a background region by adopting a corner point detection algorithm; then respectively extracting texture and power spectrum slope characteristic of the background region and comparison and acutance characteristic of the object region; and fusing the background with the object region characteristics by utilizing a multicore learning method and identifying the weather conditions. The weather identifying method based on the dynamic scene perception has the advantages that influence of scale variation of an object on weather identification can be eliminated, useful characteristic information is increased by virtue of the object region characteristics for improving weather identification rate, and especially the weather identification rate with uniform background and similar characteristics is improved.

Description

technical field [0001] The invention relates to the fields of image processing and pattern recognition, in particular to a weather recognition method based on dynamic scene perception. Background technique [0002] Scene weather recognition is one of the research hotspots in the field of image understanding and pattern recognition, especially for severe weather recognition, which is widely used in the fields of intelligent transportation, unmanned driving, virtual reality, navigation and positioning, and military reconnaissance. Target tracking is the key technology of the photoelectric tracking system, which has the defect of being too dependent on weather conditions. In cloudy and foggy weather conditions, the energy of the target is attenuated according to the atmosphere, resulting in low target imaging contrast in the photoelectric imaging system, and it is impossible to accurately identify the target; if there are clouds in the clear sky, once the cloud is misidentified...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06F18/00G06F18/23G06F18/241
Inventor 李正周李家宁程蓓邵万兴葛丰增
Owner CHONGQING UNIV
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