Image splicing device and method thereof

Abstract

The invention provides an image splicing device. The image splicing device comprises a double-shaft rotating platform and an imaging system; the double-shaft rotating platform comprises a horizontal shaft and a vertical shaft; the imaging system rotates around a horizontal shaft to adjust the pitching angle, and the imaging system rotates around a vertical shaft to realize 360-degree circumferential scanning; the imaging system comprises an optical system and an image detector, the detector target surface of the image detector is perpendicular to the optical axis of the optical system, and the target surface center of the detector target surface intersects with the optical axis. By utilizing the device, the invention provides an image splicing method, and the image splicing method realizes line-by-line automatic registration in combination with pointing angle information. Due to the fact that a non-feature matching mode is adopted in the method, the defects of a traditional splicing algorithm are effectively overcome, and the method has high adaptability and real-time performance for panoramic imaging of areas with unobvious features such as the sky.

Description

technical field [0001] The invention relates to the field of optical imaging, in particular to a graphic splicing device and a method thereof. Background technique [0002] From the United States in recent years, drones are gradually becoming the main weapon for precision military strikes, changing traditional combat methods. UAVs have the characteristics of high attack accuracy, small radar reflection area (RCS), low flight altitude, and difficult radar detection. At present, countries all over the world are exploring effective defense methods. [0003] The air defense early warning system uses area array image detectors in different bands to continuously scan around, and performs real-time panoramic imaging of the designated airspace, which can make up for the lack of radar's weak detection ability for low altitude and small targets, and has strong recognition ability and high early warning accuracy. , good concealment effect, low cost, no radiation and so on. [0004] T...

AI Technical Summary

Problems solved by technology

Common image registration methods are generally implemented based on feature extraction and feature pair matching. This type of algorithm has the following limitations: First, there is a strong dependence on image features, and it is not applicable to areas with inconspicuous features such as the sky and the sea. The second is that the algorithm has a large amount of calculation, and it is difficult to meet the real-time requirements for a system with a high frame rate or a large resolution; the third is that the feature-based automatic matching method is prone to mismatching, which often leads to real-time video stitching. Discontinuities in panoramic video

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