Mountain fire detection method based on intelligent image analysis

A technology of intelligent analysis and detection methods, applied in image analysis, image data processing, instruments, etc., can solve the problems of increasing the difficulty of fire detection, distinguishing background and wild fire, affecting feature extraction, etc., achieving ideal segmentation effect and satisfying real-time performance Requirements, low-complexity effects

Active Publication Date: 2015-04-29
STATE GRID CORP OF CHINA +3
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Problems solved by technology

Although these threshold-based methods are fast and simple, they are very sensitive to the selection of the threshold. Due to the complexity of the forest environment, it is often difficult to select a suitable threshold to distinguish the background from the wildfire.
If the mountain fire area cannot be extracted more accurately, it will affect the subsequent feature extraction, thus increasing the difficulty of fire detection

Method used

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  • Mountain fire detection method based on intelligent image analysis
  • Mountain fire detection method based on intelligent image analysis
  • Mountain fire detection method based on intelligent image analysis

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0035] Such as figure 1 and figure 2 As shown, a wildfire detection method based on intelligent image analysis includes the following steps:

[0036] (1) The training phase, which is divided into the following three steps:

[0037]Step 1. Build a database: Collect pictures about wildfires from the Internet, mark the location of wildfires by manual labeling, and mark the category of each picture;

[0038] Step 2, SLIC obtains superpixels: Given a training image, use SLIC method to extract superpixels of the image, set the size of the superpixel block to be larger than 20 pixels, and set the normalization parameter of SLIC to 0.01, Make the superpixel block it generates coincides with the out...

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Abstract

The invention discloses a mountain fire detection method based on intelligent image analysis. The method includes a training stage and a testing stage. An SLIC method is used for obtaining superpixels of an image. Through the method, pixels of the image can be fast clustered, fitting can be well performed on the edge of a target, after superpixel blocks are obtained, color and texture characteristics of the superpixel blocks are put forward, and mountain fire classification can be performed on the image according to the characteristics. Through a fire disaster detection method based on textures and colors, the position of a mountain fire can be fast and effectively detected, and a precise classification result can be obtained. The superpixels generated through SLLC can be well matched with the edge of the target, and the segmentation effect is ideal. The characteristics used for describing a superpixel area are simple, effective and low in complexity and can meet the instantaneity requirement of mountain fire detection.

Description

technical field [0001] The invention relates to a mountain fire detection method, in particular to a mountain fire detection method based on image intelligent analysis. Background technique [0002] Forest fires refer to fires that occur in the mountains and cause great damage to the forest ecosystem and the safety of human life and property and are difficult to control. They are characterized by strong suddenness, wide coverage, fast spread, and high danger. With global warming, the occurrence of forest fires is becoming more and more frequent. Our country attaches great importance to the prevention and protection of wildfires, aiming to effectively extinguish wildfires in the early stages of their occurrence and prevent their damage to the environment and human life and property. Early fire detection mainly relied on staff patrolling. This method not only consumes a lot of manpower and material resources, but human patrols will inevitably lead to some negligence, and in s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T7/00
CPCG06V10/56G06F18/23G06F18/2411G06F18/24137
Inventor 姚楠罗旺郭雅娟洪功义张天兵
Owner STATE GRID CORP OF CHINA
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