Image plane fragment trajectory association method combining forward and backward prediction with speed weighting

Abstract

The invention belongs to the technical field of spaceflight data association, and pieceicularly relates to a forward and backward prediction and speed weighting combined image plane fragment trajectory association method, which comprises the following steps of S1, preprocessing trajectories in a scene to obtain a trajectory set without intersection in time and space; s2, forward prediction is carried out on the old trajectory set, and backward prediction is carried out on the new trajectory set; s3, selecting a time window for the old trajectory set and the new trajectory set by using a speed weighting thought, and constructing a test amount; and S4, performing hypothesis testing on the obtained correlation test amount, and constructing a test matrix for a multi-target condition to solve. The method has the benefits that firstly, the three-dimensional motion of the target does not need to be modeled, and the target can be associated through the motion condition of the image plane; and secondly, a test time window is selected by using a forward prediction, backward prediction and speed weighting thought, and the correlation effect is better.

Description

technical field [0001] The invention relates to the technical field of aerospace data, in particular to an image plane segment trajectory association method combining forward and backward prediction and velocity weighting. Background technique [0002] Since humans sent the first satellite into space in the 1950s, humans have never stopped exploring space; and with the further improvement of science and technology in the 21st century, there has been an upsurge in space exploration. Compared with the radar payload, the optical payload has a unique observation band, which can give more intuitive observation results, but it can only give angle measurement information, and cannot give the three-dimensional position of the target. Moreover, due to the limited observation field of view of the optical payload, fragmented trajectories are prone to appear due to sensor scheduling or cloud cover. If these fragmented trajectories cannot be correctly associated, in the case of a single ...

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Problems solved by technology

[0003] The purpose of the present invention is to provide a method for associating image plane segment trajectories with forward and backward prediction combined with velocity weighting, so as to solve the problems in the above-mentioned background technology for optical load satellites in the observation process due to factors such as sensor scheduling and cloud occlusion. trajectories, and the shortcomings of current algorithms

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