A dynamic detection method for infrared focal plane -oriented plane -oriented on -point target

Abstract

The invention discloses a point target-oriented infrared focal plane blind element dynamic detection method. In this method, the suspected point target detected by the point target is regarded as a suspected blind element, and the path information of the point target tracking, the gray level of the suspected blind element, and the gray level of the suspected blind element field are used as input, which are respectively combined with the blind element response feature model and the blind element. The meta-motion feature model is matched to confirm whether it is a blind element. The blind cell confidence is updated by the blind cell result and forgetting factor detected in each frame, the compensation threshold and the rejection threshold are set, and the blind cells whose confidence is greater than the compensation threshold and are successfully matched with the blind cell imaging model are eliminated, and the confidence is smaller than the rejection. Threshold blind cells are eliminated from the blind cell table, thereby realizing adaptive blind cell dynamic detection. The invention makes full use of the detection and tracking results of the point target without interrupting the point target detection and tracking process, consumes less extra computing resources, can accurately and efficiently complete the detection of blind cells, and is easy to implement in hardware.

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 systems, the detection of infrared point targets has a wide range of needs and values. However, in the process of point target detection, the appearance of blind cells 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 state [2]. Blind cells can be divided into fixed blind cells and random blind cells. The response of fixed blind ce...

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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