Disaster information rapid extraction method based on video image analysis

Abstract

The invention discloses a disaster information rapid extraction method based on video image analysis, and belongs to the field of big data and artificial intelligence combined with geographic information. The disaster information rapid extraction method comprises the following steps: firstly, acquiring disaster area information, taking event occurrence GPS position data as a center, defining an influence area by using an intensity circle for rasterization, and screening out and grouping each population density area; then extracting cameras in each group, and dividing the cameras containing a certain architectural sign into effective camera groups; finally, for a certain effective camera, extracting key frames of time periods before and after the vibration time point T, respectively establishing key frame sequences, and respectively performing similarity calculation for comparison and detection; and similarly, calculating similarity comparison difference values of all effective cameras; and weighting all comparison difference values to obtain a damage index of the symbolic building, completing damage index labeling of each group of population density areas, and drawing a damage index contour line to form identification and labeling of a key target area. The disaster information rapid extraction method improves the image processing speed, and is higher in the range precision of the data set.

Description

technical field [0001] The invention belongs to the field of big data combined with geographic information and artificial intelligence, and is specifically a method for quickly extracting disaster information based on video image analysis. Background technique [0002] my country is a disaster-prone country, so disaster emergency response is very important. In recent years, my country has established a disaster emergency response mechanism through technology and management capabilities. Such as figure 1 As shown, in this mechanism, disaster precursor information can be captured in time according to network monitoring data, and disaster events can be found. When a disaster occurs, start the corresponding emergency response system, use the professional assessment model to quickly assess the scope of the disaster area and the extent of the disaster, and form an auxiliary decision-making report to guide subsequent emergency response, command and dispatch, and on-site rescue. ...

AI Technical Summary

Problems solved by technology

[0013] Aiming at the fact that the current analysis methods cannot be applied to the field of disaster emergency response, the present invention proposes a technical framework based on the assessment of building damage degree based on video images in disaster areas, combines the characteristics of disaster emergency response and social computing, and conducts research work based on artificial intelligence technology; proposes a The rapid extraction method of disaster information based on video image analysis breaks through the limitations of traditional image a priori recognition technology, and forms a technical system oriented to the characteristics of disaster information extraction and analysis in combination with LBS calculation and spatial registration technologies to meet the future development of my country's disaster industry. needs

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