Multi-constraint condition track initiation detection method for large-view-field photoelectric imaging tracking system

Abstract

The invention belongs to the technical field of analysis of echo signals using target characteristics and motion characteristics, and discloses a multi-constraint condition track initiation detectionmethod for a large-view-field photoelectric imaging tracking system. The method comprises the following steps that firstly, a constraint condition 1 with track consistency judgment and direction judgment is utilized to enhance rapid initiation of a track of a threat target; and then, the mutual cooperation between a constraint condition 2 with course variance judgment and a constraint condition 3with track reliability judgment is utilized to finish the track initiation of an interrupted point track target, and in the large-field-field photoelectric imaging tracking system, the rapid initiation of the track of the thread target in the whole airspace is achieved under a dense cluster environment. According to the method, the rapid initiation of the large-threat probability target and the interrupted point track target track is achieved under the large-view-field photoelectric imaging tracking system, so that a new idea is provided for accurate track initiation with fast targets under the dense cluster environment in the large-view-field photoelectric imaging tracking system.

Description

technical field [0001] The invention belongs to the technical field of analysis of echo signals using the target's own characteristics and motion characteristics, and in particular relates to a multi-constraint track initial detection method for a large-field photoelectric imaging tracking system. Background technique [0002] Track initiation refers to the process of track determination before entering into stable tracking (track hold). It is divided according to the process of track processing, which includes not only the selection of the track head, but also the initial track segment of the track and the process of its formation. Track initiation is developed along with the development of track processing. From intuitive method to logical method; from Hough change method to pattern matching method; from initial algorithm in sparse environment to initial algorithm in dense environment; from pure method research to performance evaluation; from active system to passive syst...

AI Technical Summary

Problems solved by technology

(2) The movement speed of the target on the image plane is very small; due to the increase of the instantaneous field of view of the system, the movement speed of the target under the staring system is much slower than that of the traditional small field of view system

The original Hough transform is designed to detect straight lines and curves because it does not need to know the prior knowledge of the area, so it has good robustness to the segmentation results, that is, the segmentation effect is not very sensitive to incomplete data or noise. Sensitive; although the Hough transform has excellent performance, due to the relatively large amount of calculation and calculation, time-consuming has become the bottleneck of its wide application

Due to the simplicity of the intuitive method and the huge amount of calculations and calculations of the Hough transform, it cannot solve the problem of track initiation under the conditions of intermittent targets, weak motion information, and dense clutter under the large-field photoelectric imaging system

[0007] To sum up, the problems existing in the existing technology are: under the large field of view photoelectric imaging tracking system, the characteristics of the target are intermittent, weak gray scale, insignificant motion information, dense clutter and noise, etc. The signal-to-noise ratio is very low, which leads to missed detection during target detection; the introduction of many false alarms can easily cause more track bifurcations during track initiation, reducing the efficiency of track initiation and increasing false track initiation The probability

This is a problem that mainstream algorithms such as conventional logic algorithms, intuitive methods, and Hough transforms cannot solve well.

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