Sequence ISAR image scattering center multi-hypothesis tracking track correlation method

Abstract

The invention discloses a sequence ISAR image scattering center multi-hypothesis tracking track correlation method, which comprises the following steps: on the basis of an ISAR target observation imaging model and a state transition equation and an observation equation of a scattering center track position, firstly, obtaining a high-resolution ISAR image sequence of an observation target, and extracting two-dimensional projection coordinates of a scattering center in the image sequence; then, utilizing a multi-hypothesis tracking method to carry out scattering center track association from the positive direction and the negative direction; determining a unique hypothesis associated with the track through hypothesis tree management of N backtracking pruning, and generating an associated track; and finally, obtaining a final associated track through track fusion and Kalman filtering. The hypothesis tree framework adopted by the invention has good coping capacity for false alarm, new generation and interruption in the association process, so that the robustness of the method is ensured.

Description

technical field [0001] The invention relates to the technical field of radar image processing, in particular to a multi-hypothesis tracking track association method of a sequence ISAR image scattering center. Background technique [0002] The motion recovery structure algorithm was originally applied to the three-dimensional imaging of optical targets. The algorithm reconstructed the three-dimensional outline of the observed target based on the optical image sequence obtained by the camera under multiple viewing angles. The algorithm includes four main steps: feature extraction, feature association, 3D estimation and error optimization. Among them, feature correlation is used to achieve the correct matching of the same feature in different images, which is the key and difficult point to achieve accurate 3D reconstruction. ISAR images are mainly composed of strong scattering points, which are similar to the corner features in optical images. Therefore, many researchers have ...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problems existing in the prior art, the object of the present invention is to provide a multi-hypothesis tracking track correlation method of the ISAR image scattering center in a sequence, and the hypothesis tree framework adopted has a good effect on false alarms, newborns and interruptions occurring in the correlation process. Response ability, thus ensuring the robustness of the method; the operation of forward and reverse association fusion solves the problem of inaccurate association due to the lack of prior information during the initial association, and eliminates the influence of the association direction on the association result, further improving the The accuracy of the method

Images