中文摘要：

遥感臭氧产品对于监测大气臭氧的时空分布及变化规律十分重要。然而,搭载于Aura卫星上的臭氧监测仪器提供的臭氧总量产品OMTO3e（ozone monitoring total ozone level 3expanded）,自2006年末开始出现信息缺失问题,每个数据的缺失区域占到三分之一甚至更多,严重阻碍了该产品的正常使用。根据OMTO3e数据的特点,针对包括中国大陆的矩形区域提出了一种时相拟合法来进行缺失数据的修复。该方法考虑多个时相的空间信息,首先选取参考像元,然后利用参考像元求得回归关系,并通过加权求和得到缺失数据的预测值。模拟实验和真实实验证明,相对于传统方法,所提方法具有更高的修复精度。

英文摘要：

Total ozone data plays is essential for monitoring the spatial distribution and temporal change in the total ozone. However, since late 2006, total ozone production from OMI （ozone monitoring instrument） aboard on Aura OMTO3e satellite began show defects resulting from an OMI instrument anomaly. The missing parts accounting for one third or even more of one set data, which is a serious obstacle for normal usage. Therefore, the recovery pf missing OMTO3e data is necessary. In this paper, a multi-temporal fitting model, based on the characteristics of OMTO3e data, is proposed to reconstruct the missing data. Experimental results and comparitive quantitative evaluation, verify that the proposed method has higher feasibility and superior to traditional methods.