Ballistic missile three-dimensional trajectory estimation method based on infrared early warning image

Abstract

The invention discloses a ballistic missile three-dimensional trajectory estimation method based on an infrared early warning image, and the method comprises the steps: carrying out the point target detection of a pre-obtained missile infrared remote sensing image in a continuous time sequence, and extracting the pixel coordinates of the mass center of a target of each image point; according to the extracted time and space information of the target point, tracking the target and obtaining a motion trail; conducting ballistic missile trajectory screening on ballistic missile motion characteristic analysis; unifying the attitude data and the orbit data of the missile target in a coordinate system; predicting a target three-dimensional trajectory through a collinear equation and a constraintcondition in a z direction according to the image plane two-dimensional trajectory; and correcting the error track according to the kinematic model of the missile and the constraint condition of the active section of the missile. According to the method, three dimensions are estimated from two dimensions, and a new scheme is provided for tracking and early warning of missiles.

Description

technical field [0001] The invention belongs to the technical fields of infrared image processing technology, photogrammetry technology and three-dimensional trajectory modeling, and in particular relates to a method for estimating a three-dimensional trajectory of a ballistic missile based on an infrared early warning image. Background technique [0002] The infrared early warning system uses the infrared camera carried by the satellite as a carrier to obtain infrared early warning images, and the detection targets are low-altitude aircraft and sea-skimming missiles. At a long distance, the imaging area of ​​these targets on the focal plane is very small, and the target appears as a point in the image without any texture information to use, and the signal-to-noise ratio is extremely low due to the influence of atmospheric radiation and cloud background, and the target is easily captured. drowned out by the noise. Based on the above image characteristics, in recent years, s...

AI Technical Summary

Problems solved by technology

At a long distance, the imaging area of ​​these targets on the focal plane is very small, and the target appears as a point in the image without any texture information to use, and the signal-to-noise ratio is extremely low due to the influence of atmospheric radiation and cloud background, and the target is easily captured. drowned by noise

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