Micro-scanning super-resolution method for infrared point target detection

Abstract

The invention belongs to the field of optical system image processing, and particularly discloses a micro-scanning super-resolution method for infrared point target detection, which comprises the following steps: an upper computer sends a super-resolution instruction and sends a set external trigger signal to a miniaturized high-frequency controller; the miniaturized high-frequency controller processes and amplifies the trigger signal according to the trigger signal, and outputs the signal to the high-precision micro-scanning platform to drive the platform to perform micro-displacement motion; after the high-precision micro-scanning platform reaches a stable position, a detector starts integration, so that low-resolution original image data is obtained; original image data is transmitted to an image algorithm processor, and the image algorithm processor carries out super-resolution image processing and point target extraction on the input low-resolution original image data according to an instruction of an upper computer; and a processed result is output to back-end equipment. According to the method, a down-sampling low-resolution sequence is obtained by using the reconstructed super-resolution image, clutters introduced by phase difference are greatly reduced, and the detection distance is increased.

Description

technical field [0001] The invention relates to the field of imaging processing of a mobile optical system, in particular to a micro-scanning super-resolution method for infrared point target detection. Background technique [0002] Due to the field of view of the infrared imaging system and the aperture of the detector pixel, the resolution of the infrared target is generally low, generally only occupying a few pixels, and is often reflected in the form of a point target. This characteristic of infrared targets makes target detection technology face many difficulties. First of all, the long-distance infrared target occupies a small area, and the target has almost no characteristic information such as size, shape, texture, etc., and the amount of useful information that can be provided to the detection algorithm is very small. Secondly, the signal-to-noise ratio of infrared targets is very low, and they propagate in the atmosphere, which will be affected by atmospheric atte...

AI Technical Summary

Problems solved by technology

Existing algorithms cannot effectively suppress background clutter for complex backgrounds, resulting in a high false alarm rate in target detection results. Therefore, a micro-scanning super-resolution method for infrared point target detection is needed

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