基于多站ISAR联合观测的空间目标三维成像方法

    A Novel Three-Dimensional Imaging Method for Space Targets Utilizing Multistatic ISAR Joint Observation

    • 摘要: 空间目标的三维重建技术可为在轨服务、故障排查等空间任务提供目标结构、尺寸等信息支撑,对维护太空资产的正常运行至关重要。ISAR设备可全天候提供空间目标的高分辨二维图像,是进行空间目标观测的主要手段。然而,现有的空间目标ISAR三维成像方法存在明显不足:受限于观测设备配置,空间目标的姿态估计容易失效,进而导致三维重建失败。同时,三维重建过程未充分考虑图像偏移等因素对三维成像质量的影响。针对这些问题,本文提出了一种基于多站ISAR联合观测的空间目标三维成像方法。该方法首先对目标的姿态进行估计,随后结合八叉树-空间雕刻技术进行高效三维重建,并基于投影优化对目标区域偏移进行校正,实现了高质量三维成像。该方法采用多站ISAR联合观测,保证了姿态估计的鲁棒性。同时,八叉树-空间雕刻技术的应用极大地提高了三维重建效率。由于进行了目标区域偏移的修正,所提方法可取得更高质量的三维成像结果。仿真实验结果表明,该方法在重建效率与成像质量等方面均展现出显著的优越性能,具有重要应用价值。

       

      Abstract: Three-dimensional (3D) reconstruction of space targets can provide critical information on target structure and dimensions for on-orbit services, fault diagnosis, and other space missions, playing a vital role in maintaining the normal operation of space assets. ISAR equipment, capable of providing high-resolution two-dimensional images of space targets under all-weather conditions, is a primary means for space target observation. However, existing ISAR-based 3D imaging methods for space targets have significant limitations: due to constraints in observation equipment configuration, the attitude estimation of space targets is prone to failure, leading to reconstruction failures. Additionally, the impact of factors such as image offsets on 3D imaging quality has not been adequately considered in the reconstruction process. To address these issues, this paper proposes a 3D imaging method for space targets based on multi-station ISAR joint observation. This method first estimates the target's attitude, then combines octree-space carving techniques for efficient three-dimensional reconstruction, and corrects target region offsets through projection optimization, achieving high-quality three-dimensional imaging. This method employs multi-station ISAR joint observation, ensuring the robustness of attitude estimation. Meanwhile, the application of the octree-space carving technique significantly improves the efficiency of 3D reconstruction. Due to the correction of target area offset, the proposed method can achieve higher-quality 3D imaging results. Simulation results demonstrate that the proposed method exhibits significant advantages in both reconstruction efficiency and 3D imaging quality, highlighting its important application value.

       

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