空间失稳目标线阵成像畸变校正方法

Distortion rectification of linear imaging for space unstability targets

  • 摘要: 空间失稳目标的非合作性和运动状态不确定性使得线阵式测量无法直接获取其真实三维形貌。通过连续多帧线阵图像同一角点的时空位置关系,提出了一种特征驱动的空间失稳目标线阵成像畸变矫正方法。该方法根据线阵激光雷达的成像机理及空间失稳目标的运动规律建立了基于运动参数的线阵成像畸变数学模型,然后依据运动具有局部一致性和全局连续性分层次对空间失稳目标的局部自旋和全局章动进行运动估计,最后利用估算出的运动参数对采集的线阵图像逐列进行畸变矫正,从而获得了测量目标的真实三维形貌。实验结果展示了该方法在非合作单载荷下对不同运动状态空间目标线阵成像畸变矫正的有效性,并数值论证了帧数选取以自旋轴绕章动轴旋转一周为宜的条件稳定性,为该方法在其他运动目标线阵式测量的应用提供指导和参考。

     

    Abstract: The un-cooperation and motion uncertainty of space unstablility targets make it difficult to obtain directly their real 3D shapes using the linear measurement. The distoration rectification method of linear imaging for space unstablility targets was presented through the temporal and spatial relations of the same corner point on the continuous linear array images. Firstly, a general linear imaging model of space unstability targets was set up based on the imaging mechanism of the linear imaging radar and motion law of space unstability targets. Then, the motion parameters of spin and nutation of space unstability targets was obtained by use of the progressive estimation mechanism according to the local similarity and global continuity of motion. Finally, the distorted linear array image column was rectified by column and then the real 3D shape of space targets was obtained according to these motion parameters based on the above linear imaging model. Experimental results illustrate the effectiveness of the proposed method for different kinds of motion states under the uncooperative and single-load condition and the conditional stability of our proposed method about the selection of frame numbers, which ensures that the spin axes would resolve around the nutation axis turning one circle. It provides guidance and reference for the applications of our method on the other linear measurement need.

     

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