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Attitude estimation of space targets by extracting line features from ISAR image sequences

机译:通过从ISAR图像序列中提取线特征来估计空间目标的姿态

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In this letter, an attitude estimation method is presented for space targets by using an inverse synthetic aperture radar (ISAR) image sequence. The line structures, like the boundaries of planar payloads, are extracted from the ISAR image sequence and associated from frame to frame. With the accommodation of the radar looking angle information from the trajectory, the threedimensional attitude of the target is achieved by solving an object-to-Range-Doppler (RD) projection optimization. Detailed image processing is provided for line structure extraction, orientation estimation and association. Experiment confirms the effectiveness of the proposal.
机译:在这封信中,提出了一种通过使用反向合成孔径雷达(ISAR)图像序列对空间目标进行姿态估计的方法。线状结构(类似于平面有效载荷的边界)是从ISAR图像序列中提取的,并逐帧关联。利用来自轨迹的雷达视角信息的适应,通过解决对象到范围多普勒(RD)的投影优化,可以实现目标的三维姿态。提供了详细的图像处理,用于线结构提取,方向估计和关联。实验证实了该建议的有效性。

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