Non-uniformity correction method for scanning type infrared search system

Abstract

The invention discloses a non-uniformity correction method for a scanning type infrared search system, and the method comprises the following steps: 1, building a cache region, and caching the scene real-time original image data of the scanning type infrared search system; 2, respectively calculating a gain parameter and an offset parameter of the cache region image; 3, respectively judging the horizontal uniformity and the vertical uniformity of the image in the cache region; 4, when the horizontal uniformity and the vertical uniformity are met at the same time, updating the non-uniformity correction parameters of the scanning type infrared search system by utilizing the gain parameters and the offset parameters calculated in the step 2, otherwise, returning to the step 1, and searching for a uniform scene again; and 5, executing non-uniformity correction by utilizing the correction parameters. According to the method, the problem that the correction parameters fail along with time issolved, and real-time, efficient and automatic non-uniformity correction is realized so that the correction efficiency is improved, and the environmental adaptability and the automation degree of a search system are enhanced.

Description

technical field [0001] The invention belongs to the technical field of infrared search and relates to a non-uniformity correction method for a scanning infrared search system. Background technique [0002] Ideally, when the infrared detector array is subjected to uniform radiation, the response of each detector element in the array is exactly the same. However, in practice, due to the influence of uneven materials, mask errors, and process conditions for making infrared detectors, the response output amplitudes of each detector element are not the same, resulting in fixed pattern noise of the infrared detector array, which usually appears as stripes Shape, grid-like or mottled pattern noise, the distortion of the image caused by this fixed pattern noise is called non-uniformity. This non-uniformity will cause regular fringe distortion on the image scanned by the infrared search system, and as time goes by, the fringe distortion will become more and more serious, seriously a...

AI Technical Summary

Problems solved by technology

Due to the complex and changeable working environment and observation scenarios, as well as the aging of the system, the correction coefficient will become invalid. Therefore, the existing methods have poor adaptability, or the normal operation of the system will be affected during calibration, requiring manual participation, resulting in low efficiency, and low degree of automation

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