基于序列图像的空间目标三维重建

空间目标三维重建对空间态势感知和理论研究具有重要意义。针对空间目标图像存在的由纹理重复导致的错误重建问题,提出了一种新的基于运动信息恢复三维场景结构策略。该策略将序列目标图像的成像时间顺序作为先验信息,顺序地加入新图像进行迭代,以避免因目标结构对称、纹理重复所导致的重建错误。同时针对空间目标成像数据匮乏的问题,进行了空间目标图像仿真,并开展了空间目标地面模拟成像实验研究。结果表明:运动分析结果精确,对噪声有较强的鲁棒性,恢复出的目标三维点云能在一定程度上表达目标的结构信息。同时给出了进行空间目标三维重建时图像序列应满足的边界条件。

Sequential-image-based space object 3D reconstruction

Space object 3D reconstruction is of important significance for both space situational awareness and theoretical study. A new structure from motion method was proposed to avoid the reconstruction error caused by the symmetrical structure and similar texture of space targets. In this method, new images were added sequentially for reconstruction using the imaging time as a priori knowledge. In addition, image simulation of space target and ground imaging simulation experiment were carried out for the lack of space target image data. And experiments on the simulated space target images, in which the motion analysis results are accurate and robust to noise, and the recovery 3D point cloud can express the structural information of the target to a certain extent, have demonstrated the effectiveness of the approach proposed, and the boundary conditions of multi-frame-image for 3D reconstruction are acquired as well.