中文摘要：

HY-1A卫星是中国第一颗海洋遥感卫星，水色水温扫描仪（COCTS）是其主要探测器。由于各探测单元的信号响应特性不同，导致COCTS数据含有大量条带噪声。这严重影响了图像的质量和可视性，对资料的定量化应用也是十分不利的。为了解决这个问题，本研究采用矩匹配及直方图匹配法，对COCTS数据进行条带消除。结果表明，两种方法都是有效的，能够在消除条带的同时保持数据原有的物理意义，并避免细节特征的丢失。但是从整体效果看，直方图匹配法更好一些。本研究的结果同样适用于其他以并扫方式获取数据的遥感器的条带消除。

英文摘要：

The HY-1 satellite is the first satellite for remote sensing of ocean environment in China and COCTS is one of the main sensor. Striping noise is unavoidable for most data of the COCTS because each detector＇ s response to radiant signal is different. The striping noise can seriously affects the quality of image and quantitative application of COCTS data. In order to decrease this effect we try to remove these stripes in COCTS images using moment matching correction and histogram matching correction in this paper. The final results indicate these two methods are both effective, but considering the overall effect, the histogram matching correction is better. The result of this study is also applicable in striping removal of other multisensor＇ s remote sensing data.