摘要
提出了一种利用天文观测图像对卫星及其子部件三维姿态进行估计的方法。该方法利用等积剖分格网建立多视角姿态模型数据库,利用基于混合噪声的最大似然算法对观测图像进行图像复原与滤波等预处理,然后进行分割和几何特征提取,提出了一种尺度不变的特征检索方法对卫星几何特征进行编码,并在姿态数据库中进行最小距离匹配,最终估计出空间目标的三维姿态。实验结果验证了本文姿态估计方法的有效性和准确性。
The 3D pose estimation of space object is a significant aspect of space situational awareness.We proposed a method to estimate the 3D pose of satellite as well as its sub-components based on astronomical observed images. Firstly, a multi-viewpoints pose model database was established by use of equal-area subdivision grid. Secondly, the image restoration and filtering were operated on the observed image with the use of maximum likelihood algorithm based on mixed noises, and then the segment and feature abstraction were performed. Thirdly, a scale-invariant feature indexing method was proposed to encode the geometric features of satellite. Finally, the minimum distance match was used to estimate the 3D pose of space object among the pose database. The experiment result verifies the validity and correction of proposed method.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2015年第1期96-101,111,共7页
Geomatics and Information Science of Wuhan University
基金
国家863计划资助项目(2012AA7032031D)~~
关键词
空间目标
三维姿态估计
等积剖分格网
特征检索
space object
3D pose estimation
equal-area subdivision grid
feature indexing
