Spatial information aided unmanned aerial vehicle video big data multi-temporal association analysis method

A technology of spatial information and correlation analysis, applied in the field of video analysis, can solve problems such as incompetence in multi-temporal video correlation analysis tasks, and achieve the effect of low cost
CN106960027AActive Publication Date: 2017-07-18ZHUHAI DAHENGQIN TECH DEV CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
ZHUHAI DAHENGQIN TECH DEV CO LTD
Publication Date
2017-07-18

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Abstract

The invention discloses a spatial information aided unmanned aerial vehicle big data multi-temporal association analysis method. The method comprises the following steps: acquiring and encoding a video in real time, acquiring unmanned aerial vehicle spatial information and camera parameter and other auxiliary information, and recording the auxiliary information in a compressed bit-stream at the same time; dividing the method into two conditions that the acquisition points are the same and different, establishing an associated judgement rule between any two multi-temporal images, and measuring an association coefficient; and organizing the multi-temporal videos under the same scene according to the order of the original acquisition time through the scene classification of the time sequence maintenance. By use of the analysis method disclosed by the invention, the multi-temporal video associated with the same scene can be fast and reliably positioned from mass unmanned aerial vehicle video big data of different scenes shot at different time, thereby providing evidence for the change detection of the disaster scene.
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Description

technical field

[0001] The invention belongs to the technical field of video analysis, and relates to a video analysis method of an unmanned aerial vehicle, in particular to a multi-time correlation analysis method for big data of unmanned aerial vehicle video assisted by spatial information.

[0002] technical background

[0003] In recent years, natural disasters have occurred frequently, posing serious threats to social economy and security. Low-altitude drones have quickly become an effective platform for quickly obtaining geographic data due to their advantages of flexibility, real-time performance, and low cost. The UAV disaster emergency measurement system quickly detects the disaster situation, grasps the spatial information of the damaged ground objects, can complete the tasks of geological disaster monitoring, emergency rescue and disaster assessment, and provides accurate basis for the rapid formulation of geological disaster prevention and rescue plans.

[0004] ...

Claims

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