Method for quickly splicing aerial images of unmanned aerial vehicle in emergency rescue activities

Abstract

The invention relates to the field of image splicing and particularly relates to a method for quickly splicing aerial images of an unmanned aerial vehicle in emergency rescue activities. The method comprises the following steps of acquiring aerial data of the unmanned aerial vehicle; thinning the number of the images, and then performing distortion correction and image rearrangement on each imageparticipating in splicing; air strip image splicing being carried out based on the image texture, and then air strip splicing being carried out; and finally, geometrically correcting the spliced imageby taking the central point of the original image as a control point so that the image has geographic space information. According to the method, by reducing the image data and simplifying the data processing process, image splicing can be rapidly carried out, meanwhile, the image data has measurability, splicing efficiency of aerial images of the unmanned aerial vehicle is greatly improved, andthe obtained image splicing image can meet the requirement for emergency rescue command in precision.

Description

technical field [0001] The invention relates to the field of image splicing, in particular to a method for fast splicing of unmanned aerial vehicle images in emergency rescue activities. Background technique [0002] In emergency rescue, such as forest fires, floods, earthquakes and other natural disasters, quick understanding and mastery of ground conditions is an important task before rescue activities, and is also an important source of information for disaster development and disaster status assessment during rescue activities , which has a huge information support function for scientific and orderly rescue dispatching activities. Because of its flexible maneuverability, convenient operation and many other advantages, UAVs can be widely used in emergency rescue activities to carry out on-site disaster information acquisition and real-time monitoring of disasters. [0003] The most important type of disaster information obtained by drones is the ground image data of the ...

AI Technical Summary

Problems solved by technology

To ensure the accuracy of data results, all links from raw data acquisition to data processing have strict specification requirements and technical restrictions. , planning, etc.) required basic geographic information products, but the production of such products has high requirements for hardware and software equipment, and the production cycle is long. In conventional flight practice, the data is processed on the corresponding software and hardware platform in the rear after data acquisition. , the processing time varies, but for emergency rescue on-site activities, the time is too long to meet the on-site requirements, so it is mostly used for later disaster assessment, or other scenarios that do not require high data current status

[0005] There are many types of splicing of UAV aerial image data in the existing technology. To sum up, these technologies are either not separated from the general aerial data processing flow or algorithm, or for specific purposes, or based on specific software and hardware, or just solve the splicing process. However, how to fully consider the special needs of emergency rescue scenes, through effective planning and realize the rapid stitching of UAV aerial images And the splicing process with a certain precision is still an important technology development topic

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