A 3D Trajectory Estimation Method for Ballistic Missile Based on Infrared Early Warning Image

Abstract

The invention discloses a three-dimensional trajectory estimation method for ballistic missiles based on infrared early warning images, which performs point target detection on the pre-acquired continuous time series infrared remote sensing images of missiles, and extracts the pixel coordinates of the center of mass of each image point target; according to the above-mentioned extracted target The time and space information of the point, track the target and obtain the trajectory; analyze the characteristics of the ballistic missile movement and screen the trajectory of the ballistic missile; unify the attitude data and orbit data of the missile target in one coordinate system; according to the above-mentioned two-dimensional trajectory of the image plane , predict the three-dimensional trajectory of the target through the collinear equation and the constraints in the z direction; correct the error trajectory according to the kinematics model of the missile and the constraints of the active section of the missile. The invention estimates three-dimensional from two-dimensional, and provides a new solution for missile tracking and early warning.

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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