Sector-scan splicing method of double infrared low-attitude detection system applied to land defense monitoring

Abstract

The invention relates to a sector-scan splicing method of a double infrared low-attitude detection system applied to land defense monitoring and belongs to the technical field of video monitoring image processing. The method provided by the invention adopts two infrared cameras which are placed up and down, images corresponding to different pitch angles and performs uninterrupted sector scan in aspecified detection azimuth are respectively acquired, images of different azimuth angles corresponding to multiple scene points are acquired by virtue of a fixed angle or fixed time interval way andthe current corresponding azimuth angle is acquired, and a splicing position of a to-be-spliced image in a panorama picture is calculated according to a ratio of the current azimuth angle to a detection range, so that a complete scene picture is spliced. The method provided by the invention can realize real-time generation of a panorama picture in a large scene range, splicing speed is high, and the method provided by the invention is not constrained by a placing position and an angle of a land defense rotary table.

Description

technical field [0001] The invention relates to a fan-sweep splicing method applied to a double-infrared low-altitude detection system for land defense monitoring, and belongs to the technical field of video monitoring image processing. Background technique [0002] With the development of technologies such as video surveillance and panorama stitching, the functions of large scene surveillance and real-time target detection have attracted more and more attention. In actual scientific research and engineering projects, high-resolution images that exceed the perspective of the human eye are often used. Due to the limitation of distance, the angle of view of ordinary digital cameras often cannot meet the needs, and some super-sized objects cannot be captured with a single photo. In order to obtain high-resolution images with large viewing angles, people often use wide-angle lenses and scanning cameras to partially solve this problem. However, these devices have the disadvanta...

AI Technical Summary

Problems solved by technology

However, these devices have disadvantages such as expensive and complicated to use, and obtaining an ultra-wide viewing angle in a low-resolution image will lose the resolution of objects in the scene, and the image edges of the wide-angle lens will inevitably be distorted

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