摘要
针对资源三号卫星原始姿态数据在获取、解算及传输的过程中由于硬件限制、软件设计和外界环境干扰等因素易出现误码和异常值等问题,文章提出一套由粗到精的原始姿态数据预处理方法:先采用基于时间连贯性的约束进行姿态误码探测和基于多项式拟合的误码修补,然后采用扩维的异常层探测方法进行异常值探测,最后利用球面内插进行异常值修正。实验结果表明,该方法可以对资源三号卫星问题原始姿态数据进行有效预处理,修正后的原始姿态数据进行事后定姿能够满足资源三号卫星业务化生产的精度要求。
Aiming at the problem that in the process of acquisition,calculation and transmission,there are some error codes and outliers in the raw attitude data of ZY-3due to hardware limitations,software design and external environment interference,the paper proposed a coarse-to-fine data preprocessing method of raw attitude that detected error codes based on time constraint and repaired by polynomial fitting,then detected outliers based on augmented dimensionality and corrected by spherical linear interpolation.Experimental result showed that the proposed method could pre-process ZY-3raw attitude data efficiently,and the corrected raw attitude data could meet the accuracy requirements of production.
出处
《测绘科学》
CSCD
北大核心
2016年第1期127-132,共6页
Science of Surveying and Mapping
基金
国家自然科学基金项目(41271394)
青年自然科学基金项目(41301525)
公益性测绘行业专项(201412001
201412007
201512012)
基础测绘科技项目(1461501900202)
信息工程大学地理空间信息学院硕士学位论文创新与创优基金(ZS201505)
