Infrared focal plane blind pixel dynamic detection method for point target

Abstract

The invention discloses an infrared focal plane blind pixel dynamic detection method for a point target. According to the invention, the method comprises the steps: taking a suspected point target detected by a point target as a suspected blind pixel, and taking path information of point target tracking, a suspected blind pixel gray scale and a suspected blind pixel field pixel gray scale as input, and performing matching with a blind pixel response characteristic model and a blind pixel motion characteristic model respectively to confirm whether the point target is a blind pixel or not; updating the blind pixel confidence coefficient through the blind pixel result of each frame of detection and the forgetting factor, setting a compensation threshold value and an elimination threshold value, screening the blind pixels of which the confidence coefficients are greater than the compensation threshold value and which are successfully matched with the blind pixel imaging model for elimination, and eliminating the blind pixels of which the confidence coefficients are less than the elimination threshold value from the blind pixel table, thereby realizing self-adaptive blind pixel dynamicdetection. Under the condition of not interrupting the detection and tracking process of the point target, the detection and tracking result of the point target is fully utilized, the consumption of extra computing resources is less, the blind pixel detection can be accurately and efficiently completed, and the hardware implementation is easy.

Description

Technical field: [0001] The invention relates to an infrared detector signal processing technology, in particular to a blind element detection method applied to an area array infrared focal plane. Background technique [0002] Infrared Focal Plane Array (IRFPA) is the key of infrared imaging system. With the rapid development of IRFPA technology, its application is becoming more and more extensive. As one of the important applications of infrared imaging system, the detection of infrared point targets has a wide range of needs and values. However, in the detection process of point targets, the appearance of blind elements will seriously affect the detection effect and tracking efficiency of point targets [1]. Blind element is an inherent characteristic of IRFPA, which is mainly caused by material properties, manufacturing process, ambient temperature and working conditions [2]. Blind elements can be divided into two types: fixed blind elements and random blind elements. Th...

AI Technical Summary

Problems solved by technology

The radiation calibration method requires a standard radiation source, which increases the burden on the system. During the calibration process, imaging cannot be performed, and the calibration can only be performed periodically. The newly generated random blind pixels cannot be detected in real time.

The scene-based blind element detection method does not require additional external equipment assistance, and can better adapt to various environments. However, there are disadvantages such as large amount of calculation and poor accuracy.

Moreover, the traditional scene-based blind element detection method cannot effectively distinguish between point objects and blind elements, and it is easy to detect point objects as blind elements for correction, which brings greater difficulties to the detection and tracking of subsequent point objects [3]

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