Forest fire identification method, system, program and storage medium based on multi-spectrum

Abstract

The invention discloses a multispectral-based forest fire identification method, system, program and storage medium, belonging to the technical field of forest fire prevention. The present invention first obtains the visible light image and the near-infrared image of the scene; and identifies the suspected fire area in the visible light image and the suspected fire area in the near-infrared image; and compares the suspected fire area in the visible light image with the suspected fire area in the near-infrared image Matching, the initial verification of the forest fire situation in the scene; synchronously adjust the focal length of the visible light camera and the near-infrared camera, and re-match and verify the suspected fire area in the visible light image and the suspected fire area in the near-infrared image; Finally, perform cloud recognition verify. The invention effectively improves the accuracy of forest fire identification and reduces false alarms.

Description

technical field [0001] The invention belongs to the technical field of forest fire prevention, and in particular relates to a multi-spectrum-based forest fire identification method, system, program and storage medium. Background technique [0002] Forest fire is a sudden and destructive natural disaster that is difficult to deal with and rescue. The annual losses caused by forest fires in the world are incalculable. Forest fires have caused serious threats to forest ecology, the earth's environment, and human life and property. Therefore, it is particularly important to detect forest fire dangers early and deal with them early. However, because the forest area is relatively large and the environment is relatively complex, it is difficult to meet the demand simply relying on artificial detection of forest fires. Therefore, in order to identify fires more accurately, many fire identification methods have been proposed in the prior art. It is mainly through the method of image...

AI Technical Summary

Problems solved by technology

However, in the technical solution in this patent, if the fire area is too far away from the camera, when the visible light camera or the infrared camera does not capture the fire point, the infrared image and the visible light image will not be able to establish a mapping, making the recognition accuracy in the fire recognition process low. , prone to false alarms, so it is necessary to improve the existing forest fire identification method based on multi-spectral forest fire identification method, so as to improve the accuracy of forest fire identification, so as to better identify forest fires and detect them early Forest fires, reducing losses

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