Method for determining mapping relation from space linear vector to projection plane attitude

Abstract

The invention provides a method for determining a mapping relation from a space linear vector to a projection plane attitude, belongs to the field of conventional target range optical attitude measurement, and is used for standardizing a vector relation of the linear vector from space to plane projection. According to the method, two ways of attitude solution, namely vector rotation and rendezvous reconstruction, are utilized, so that mapping from a space linear vector to a projection image surface and verification of a method result are realized; by adopting the method provided by the invention, attitude mapping from a linear vector space to a plane is realized for the first time; the technical method provided by the invention can be used as a basic basis for attitude processing of a linear feature target, and is widely applied to the field of military camera measurement attitude testing.

Description

technical field [0001] The invention relates to the field of conventional weapon testing and testing, in particular to the field of shooting range optical attitude measurement. Background technique [0002] Line vectors are very dominant in optical attitude measurement. At present, optical attitude processing methods are mainly based on three types of features, which are based on multiple (more than 3) corner points with the same name, based on target models, and based on line vector features. For shooting range measurement targets, during the dynamic flight of the target, there are very few corner points with the same name that can be extracted from multiple perspectives without occlusion and can be seen through. Therefore, the method based on multi-point measurement is not suitable; when the measurement shape cannot be accurately obtained, the model matching In addition, the model matching method loses the calculation premise. In addition, the model matching method has a l...

AI Technical Summary

Problems solved by technology

For shooting range measurement targets, during the dynamic flight of the target, there are very few corner points with the same name that can be extracted from multiple perspectives without occlusion and can be seen through. Therefore, the method based on multi-point measurement is not suitable; when the measurement shape cannot be accurately obtained, the model matching In addition, the model matching method loses the calculation premise. In addition, the model matching method has a large amount of calculation, time-consuming and low efficiency; while the method based on the intersection of straight line vectors not only does not need the same name matching, but also is more flexible in feature extraction.

[0003] There is a basic collinear equation in the calculation of the trajectory of the photogrammetry; but based on the intersection of straight line vectors, there is no mature mapping relationship between the spatial straight line vector and the projected plane attitude.

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