中文摘要：

Terra卫星MODIS传感器影像中多个波段数据存在条带噪声，其中第28波段的数据受影响较为严重，且随着时间的推移噪声强度更大、噪声类型更加复杂。针对该波段同时受探元一探元噪声与镜面条带噪声影响的特点，本文在矩匹配方法的基础上，提出了基于曲线拟合与去除信号趋势项的条带噪声去除方法。实验结果表明，相对于传统方法，本文提出的两种条带去除方法具有更强的稳健性。

英文摘要：

Stripe noise can be found in many bands of Terra MODIS data, especially in the 28th band. Additionally, the problem gets more serious and complex with time changes. In many cases, the data suffers from detector, detector stripes and mirror stripes noise, this paper proposes an interpolation fitting destriping algorithm and an detrending destriping algorithm both based on a moment matching method. Experimental results and quantitative analyses verify the efficacy of these two new destriping algorithms.